Federated Learning Papers

Training models across many clients without sharing raw data: optimization, heterogeneity, privacy, robustness and systems.

957 papers with code out of 38,649 indexed · updated October 25, 2026 · Browse and search all papers →

More lists: LLM Serving · RAG · Agent CDN · Backdoor Learning · Machine Unlearning

Newest 200 papers with code

Date	Paper	Venue	Code
2026-10-22	Is High Local Accuracy Enough? Geometric Consensus with Support-Adaptive Statistical Personalization for Federated Learning Junyu Lin, Bosong Qi, Pengcheng Shi et al.	arXiv
2026-10-14	The Dynamics of Collapse and Recovery in Clustered Federated Learning Priyanka Deb Sinha, Snigdhansu Chatterjee	DynaFront@NeurIPS26 Poster
2026-10-03	Extendible Multi-Stage Federated Multi-Modal Learning with Missing Modalities	ICLR 2027 (submission)
2026-09-30	HO-FL: Hybrid-Order Federated Learning for Heterogeneous Edge Devices Qiyuan Chen, Xian Wu, Yanan Ma et al.	ICLR 2027 (submission)
2026-09-28	Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study Rafael Garcia‐Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul et al.	arXiv
2026-09-25	Type-Balanced Federated Learning for Visual Analog Meter Reading Weida Zhao, Logan Bellamy, Yazhou Tu et al.	arXiv
2026-09-21	FedMust: Semi-supervised Multi-task Student-Teacher Federated Learning for Multi-organ CT Segmentation Ashkan Moradi, Bendik Skarre Abrahamsen, Mattijs Elschot	arXiv
2026-09-01	WaSA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning Alessandro Licciardi	COINS 2026
2026-08-20	FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning Jiajun Wu, Zirui Wang, Jiayu Zhou et al.	arXiv
2026-08-14	STAR-FL: Secure Federated Learning with Spatial-Temporal Analysis and Robust Aggregation Nawrin Tabassum, Yanzhao Wu	CNS 2026
2026-08-11	Modality-incomplete Federated Learning via personalized prompt generation and alignment Shu Wang, Zhe Qu, Yuan Liu et al.	Pattern Recognition
2026-08-10	Multimodal Federated Learning under Dual-Axis Modality Missingness Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin et al.	arXiv
2026-07-30	FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning Vo Van Truong, Khoa Nguyen, Taehong Kim	Future Generation Computer Systems 186 (2026) 108743
2026-07-29	FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning Zhaoyang Ma, Zhihao Wu, Xin Gao et al.	arXiv
2026-07-21	Heterogeneity-Dependent Backdoor Defence Collapse in Federated Learning: Formal Analysis, Novel Defences, and a Four-Dataset Cross-Benchmark Study mihit nanda	Zenodo
2026-07-21	Enhancing Tomato Leaf Disease Detection Using Federated Learning for Efficiency and Privacy Preservation Ons Loukil, Slim Amri, Walid Barhoumi	Vietnam Journal of Computer Science
2026-07-15	Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning Haobo Zhang, Jiankun Wang, Suraj Rajendran et al.	arXiv
2026-07-08	Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Maximilian Andreas Hoefler, Karsten Mueller, Wojciech Samek	arXiv
2026-07-05	FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture Zijian Wang, Pengfei Li, Guangyu Yang et al.	ICLR 2027 (submission)
2026-07-04	GeoTecINIT/LIA_System: LIA-FL v1.0.0: Federated learning platform for AIoT sensor networks Jesús Goterris	Zenodo
2026-06-21	Subspace-Constrained Federated Learning with Low-Rank Adaptation Neranjan Senarath, Rohit Muralitharan, Sadia Asif	arXiv
2026-06-16	New Dataset of Performance Metrics, Device Telemetry, and Blockchain Audit Logs from a Federated Learning Testbed on Raspberry Pi Devices for HAR Talgar Bayan, Bibarys Mukhambetiyar, Askar Boranbayev et al.	Research Explorer (The University of Manchester)
2026-06-15	LifeMH-FL: A Lifecycle-Stratified Mental Health Corpus for Federated Learning Sayooj Devadas	Zenodo
2026-06-10	Federated Learning Under Adversarial Silence Attacks Lili Su, Ming Xiang, Jiaming Xu et al.	INFORMS journal on computing
2026-06-06	TaxFL: Federated Learning and Federated Graph Intelligence for Cross-Border Tax and AML Compliance Pedro Augusto Frantz	Zenodo
2026-06-03	TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises Muhammad Hadi, Muhammad Jahangir, Talha Shafique et al.	arXiv
2026-06-03	Artifact of the paper: Accelerating Sharded Data Parallelism at Scale with Federated Learning Gianluca Mittone, Marco Aldinucci	Zenodo
2026-05-31	One-Shot Federated Learning based on Random Feature Extractor Luyuan Yang, Shayan Shafaei, Yiming Liu et al.	Conference on Uncertainty in Artificial Intelligence (UAI)
2026-05-31	Efficient Federated Conformal Prediction with Group-Conditional Guarantee Haifeng Wen, Osvaldo Simeone, Hong Xing	UAI 2026
2026-05-19	Do Vision Models Truly Forget? New Findings from Representation-Level Certification of Visual Unlearning in Vertical Federated Learning Chunlei Meng, Zhenyu Yu, Guangzhen Yao et al.	ECCV (78)
2026-05-08	Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning Hao Chen, Zavareh Bozorgasl	arXiv
2026-05-06	Federated Learning for Early Prediction of EV Charging Demand Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis et al.	arXiv
2026-05-04	Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning Shihao Hou, Chikai Shang, Zhiheng Yang et al.	CVPR 2026
2026-04-30	Social Hippocampus Memory Learning Liping Yi, Zhiming Zhao, Kewen Zhu et al.	ICML 2026
2026-04-30	MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning Junyi Yan, KE LIANG, Hao Yu et al.	ICML 2026
2026-04-30	FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning Jianfeng Lu, YuZhao Xiang, Yue Chen et al.	ICML 2026
2026-04-30	FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA Haoran Zhang, Dongjun Kim, Seohyeon Cha et al.	ICML 2026
2026-04-30	FedRGL: Robust Federated Graph Learning under Label Noise De Li, Zhou Tan, Qiyu Li et al.	ICML 2026
2026-04-30	FedHPro: Federated Hyper-Prototype Learning via Gradient Matching Huan Wang, Jun Shen, Haoran Li et al.	ICML 2026
2026-04-30	FedFit: Federated Dynamic Sparse Training via Fisher Information scoring Meng Bi, Hong Huang, Jinlong Song et al.	ICML 2026
2026-04-30	Don't Reinvent the Wheel, Just Realign the Spokes: Resource-Efficient Federated Fine-Tuning via Rank-Wise Expert Assembly Yebo Wu, Jingguang Li, Zhijiang Guo et al.	ICML 2026
2026-04-30	Decoupled Low-Rank Adaptation for Robust Federated Fine-Tuning Xiuwen Fang, Xuliang Yang, Mang Ye	ICML 2026
2026-04-30	Coupled Trigger Optimization and Vulnerable Parameter Alignment for Persistent Backdoor Attacks on Federated Learning Zhixuan Ma, Haichang Gao, Shangwen Li et al.	ICML 2026
2026-04-30	Controlled Collaboration Geometry for Personalized Federated Learning Hongbo Yin, Jichun Wu, Zhou Yang et al.	ICML 2026
2026-04-30	Beyond Description: Federated Adaptation via Semantic-Visual Prototype Alignment Jiarong Yang, Yuan Liu	ICML 2026
2026-04-27	FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection Yutong He, Zhengyang Huang, Jiahe Geng	arXiv
2026-04-25	Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning Wugeng Zheng, Ziwen Kan, Katie Wang et al.	arXiv
2026-04-22	FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels Sina Gholami, Abdulmoneam Ali, Tania Haghighi et al.	arXiv
2026-04-21	Towards Explainable Privacy Preservation in Federated Learning via Shapley Value-Guided Noise Injection Yunbo Li, Jiaping Gui, Yue Wu	ICASSP 2026
2026-04-21	RFL-NLCP: Robust Federated Learning with non-IID Data and Limited Client Participation Jinshan Lai, Dongfen Li, F Zhang et al.	ICASSP 2026
2026-04-21	FedGPAI: Personalized Federated Learning Based on Parameter Sensitivity Adaptive Interpolation Yaole Li, Tao Liu, Kuiming Wang et al.	ICASSP 2026
2026-04-21	FEDCADS: Robust Federated Learning via Dual Distillation and Participation-Aware Optimization Under non-IID Data Jinshan Lai, Dongfen Li, F Zhang et al.	ICASSP 2026
2026-04-21	DSA: Direction and Sign Alignment for Contribution Evaluation in Federated Learning Lingfu Wang, Tong Wu, Guangchun Luo et al.	ICASSP 2026
2026-04-21	DCFL: Dual End Constraint Federated Learning with an Adaptive Analytic Anchor Xizhong Liu, Yuelin Feng, Yingbiao Hu	ICASSP 2026
2026-04-20	DLR Federated Learning Logging Base Heinrich, Florian, Franke et al.	Zenodo
2026-04-20	A Novel Personalized Federated Learning Method for Privacy-Preserving Smart Mobile Health Monitoring Yidong Chai, Haoxin Liu, Xiao Liu et al.	INFORMS journal on computing
2026-04-13	Adaptive Client-Specific Augmentation (ACSA) for Mitigating Data Heterogeneity in Federated Learning Aiswariya Milan K, Amudha Joseph, George Ghinea	Journal of Computational and Cognitive Engineering
2026-04-12	Reconstructing Training Data from Adapter-based Federated Large Language Models	arXiv
2026-03-31	FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity Lin Zhong	Expert Syst. Appl. 2026
2026-03-24	FedCLIP-Distill: Heterogeneous federated cross-modal knowledge distillation for multi-domain visual recognition Yuankun Xia, Hui Wang, YufengZhou	Knowl. Based Syst. 2026
2026-03-21	Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice Chen, Jiahao, Zhao et al.	arXiv
2026-03-15	Domain-Skewed Federated Learning with Feature Decoupling and Calibration Huan Wang, Jun Shen (15131), Jun Yan et al.	CVPR 2026
2026-03-13	DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning Haaris Mehmood, Giorgos Tatsis, Dimitrios Alexopoulos et al.	Zenodo
2026-03-05	FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning Junkang Liu, Fanhua Shang, Yuanyuan Liu et al.	arXiv
2026-03-02	Collaborative Threshold Watermarking Tameem Bakr, Anish Ambreth, Nils Lukas	ICLR 2026
2026-03-02	An Adaptive Federated Learning Algorithm with Attenuated Memory on Non-IID and Long-Tail Data Yu Wu, Haijun Yang, Harris Wu et al.	INFORMS journal on computing
2026-02-27	FedNSAM:Consistency of Local and Global Flatness for Federated Learning Junkang Liu, Fanhua Shang, Yuxuan Tian et al.	arXiv
2026-02-24	FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning Alina Devkota, Jacob Thrasher, Donald Adjeroh et al.	CVPRF 2026
2026-02-23	SAGE: Sustainable and green energy-aware client selection for federated learning in IoT Martina Savoia, Ciro Della Bruna, Ciro D’Addio et al.	Applied Energy
2026-02-13	SelfDistillCore: a federated learning framework with sparse updates and historical knowledge integration Duy-Dong Le, Tuong-Nguyen Huynh, Minh-Son Dao et al.	PeerJ Computer Science
2026-02-07	FedTLRec: Federated Recommendation with Transformer-based Parameter Aggregation and LoRA Compression	ICCK Transactions on Machine Intelligence
2026-01-30	Standardized Methods and Recommendations for Green Federated Learning Austin Tapp, Holger R. Roth, Ziyue Xu et al.	arXiv
2026-01-26	LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning Mostapha Essoullami, El houcine Bergou, Aritra Dutta	ICLR 2026
2026-01-26	Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation Zikai Zhang, Rui Hu, Jiahao Xu	ICLR 2026
2026-01-26	Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning Tao GUO, Junwei Chen, Laizhong Cui	ICLR 2026
2026-01-26	FeDaL: Federated Dataset Learning for General Time Series Foundation Models Shengchao Chen, Guodong Long, Michael Blumenstein et al.	ICLR 2026
2026-01-26	Enhancing Communication Compression via Discrepancy-aware Calibration for Federated Learning Zhiyi Wan, Yijia Chi, Liang Li et al.	ICLR 2026
2026-01-26	DeepAFL: Deep Analytic Federated Learning Jianheng Tang, Yajiang Huang, Kejia Fan et al.	ICLR 2026
2026-01-26	Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients Minhyuk Seo, Taeheon Kim, Hankook Lee et al.	ICLR 2026
2026-01-09	SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning Osama Abu Hamdan, Hao Che, Engin Arslan et al.	CCNC 2026
2026-01-09	FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research Osama Abu Hamdan, Hao Che, Engin Arslan et al.	CCNC 2026
2026-01-08	FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems Quang-Tu Pham, Vu Hoang Dieu, Dinh-Dat Pham et al.	arXiv
2026-01-01	TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning Jianhua Wang, Yinlin Su	arXiv
2026-01-01	Source Camera Model Identification via Federated Learning Using Laplacian-Based Patches Rejoy Chakraborty, Puneet Goyal	IEEE TAI
2026-01-01	Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data Sota Sugawara, Yuji Kawamata, Akihiro Toyoda et al.	IJCAI 2026
2026-01-01	Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation	arXiv
2026-01-01	SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs	ACL (1) 2026
2026-01-01	RAFed: Responsive Augmentation and Approximate Update Method for Federated Learning with Non-IID Data Yicheng Di, Zhanjie Zhang	WWW 2026
2026-01-01	Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance Abdelkarim Loukili	arXiv
2026-01-01	QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang et al.	Lecture Notes in Computer Science
2026-01-01	Predictor-Free and Hardware-Aware Federated Neural Architecture Search via Pareto-Guided Supernet Training	arXiv
2026-01-01	PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology Kelly L. Vomo-Donfack, Adryel Hoszu, Grégory Ginot et al.	arXiv
2026-01-01	Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare Prashnna Gyawali, Binod Bhattarai, Yash Raj Shrestha et al.	arXiv
2026-01-01	Label-Flip Attack Detection via Trust-Weighted Aggregation in Federated Learning for Underground Mine Security Md. Sazedur Rahman, Sanjay Madria, Samuel Frimpong	Proceedings of the 20th ACM International Conference on Distributed and Event-based Systems
2026-01-01	Inter-attribute Semantic Correlation-Guided Federated Recommender System Against Attribute Inference Attacks	DASFAA (1) 2026
2026-01-01	Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning Wentao Yu, Sheng Wan, Shuo Chen et al.	ICML 2026
2026-01-01	HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer Minjun Kim, Minje Kim	WACV 2026
2026-01-01	Few-for-Many Personalized Federated Learning Ping Guo, Tiantian Zhang, Xi Lin et al.	CVPR 2026
2026-01-01	FedOAP: Cross-Organ Feature Sharing for Rapidly Adaptable Federated Tumor Segmentation	ICPR (14) 2026
2026-01-01	FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments Alejandro Dopico-Castro, Oscar Fontenla-Romero, Amparo Alonso-Betanzos et al.	ESANN 2026 proceesdings
2026-01-01	FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems	ACL (Findings) 2026
2026-01-01	FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation	arXiv
2026-01-01	FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift Huy Q. Le, Loc X. Nguyen, Yu Qiao et al.	IEEE/CVF CVPR 2026
2026-01-01	FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation Meilu Zhu, Zhiwei Wang, Axiu Mao et al.	arXiv
2026-01-01	Dynamic federated learning: coping with the challenge of label noise in real-time network data Chengtian Ouyang, Jiaxiang Wan, Donglin Zhu et al.	Journal of King Saud University - Computer and Information Sciences
2026-01-01	DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning Yizhou Han, Di Wu, Blesson Varghese	arXiv
2026-01-01	Diffusion to Obfuscation: Time-Adaptive Synthesized Generation Against Gradient Leakage Attacks in Federated Learning Chun-Shien Lu, Farchan Hakim Raswa, Jia-Ching Wang	ECCV (5) 2026
2026-01-01	Dawid-Skene-model-based label-noise mitigation for federated learning Jia Dong, Rui Zhu, Xinyi Shang et al.	Information Sciences
2026-01-01	DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning Nahom Birhan, Daniel Wesego, Dereje Shenkut et al.	ICASSP 2026
2026-01-01	Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speech	arXiv
2026-01-01	BlazeFL: Fast and Deterministic Federated Learning Simulation Kitsuya Azuma, Takayuki Nishio	arXiv
2026-01-01	Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning Zhihao Chen, Zirui Gong, Jianting Ning et al.	arXiv
2026-01-01	Accurate and Resource-Efficient Federated Continual Learning	arXiv
2026-01-01	A secure cross-domain federated learning scheme based on blockchain fair payment Qiuxian Li, Dawen Xia, Youliang Tian et al.	PeerJ Computer Science
2026-01-01	A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models	arXiv
2026-01-01	A Privacy-Preserving Framework Using Remote Data Science for Inter-Institutional Student Retention Prediction	arXiv
2025-12-31	An Open-Source AI-as-a-Service Framework for Federated, Efficient, and Drift-Robust Learning in the Continuum Edge–Cloud	IEEE Access
2025-12-30	UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data	arXiv
2025-12-30	FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation	DAGM GCPR 2025
2025-12-30	Exploring Subtle Manipulation Vulnerabilities in Federated Distillation	TrustCom 2025
2025-12-30	EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?	arXiv
2025-12-30	Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL	arXiv
2025-12-30	Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data	IJCNN 2025
2025-12-12	DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning Zhang, Kaichuang, Yin et al.	arXiv
2025-12-08	Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks Elmahallawy, Mohamed, Akbarfam et al.	IEEE BigData 2025
2025-12-01	The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning Akis Linardos, Sarthak Pati, Ujjwal Baid et al.	Machine.Learning.for.Biomedical.Imaging. 3 (2025)
2025-12-01	Improving Generalization in Federated Learning for Steady-State Visual Evoked Potential Classification and Its Application in Soft Gripper Rao Wei, Changchun Hua, Jiannan Chen et al.	IEEE Transactions on Neural Systems and Rehabilitation Engineering
2025-12-01	Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model Restoration Chengjie Ma, Seungeun Oh, Jihong Park et al.	ICML 2026
2025-11-27	FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning Yao, Yuan, Wang Li-xu et al.	CVPR 2025
2025-11-27	A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization Li, Tianle, Huang Yongzhi et al.	NeurIPS 2025
2025-11-26	MobiExo: GPS-SLAM Fusion for Seamless Indoor-Outdoor Mobile Manipulation with Hand-Foot Coordination Jianpeng Wang, Zhen Tian, Wenlong Chen et al.	IROS 2025
2025-11-18	\textitFLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning Younesi, Abolfazl, Kiss et al.	arXiv
2025-11-14	Optimizing Quantum Federated Learning: Addressing non-IID data challenges with global data sharing in weighted model averaging and clustering-based parameter selection Zhiqiang Guo, Jianbin Hu, Wenyu Yang et al.	Physica Scripta
2025-11-12	Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning Behnaz Soltani, Yipeng Zhou, Saqr Thabet et al.	ICDM 2025
2025-11-11	Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2 Duman, Mehmet Batuhan, Carnero Alejandro et al.	arXiv
2025-11-09	Rethinking Client-oriented Federated Graph Learning
2025-11-09	FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes Zhehao Dai, Guojiang Shen, Jiaxin Du et al.	CIKM 2025
2025-11-08	Curriculum Guided Personalized Subgraph Federated Learning M.-S. Kang, Hogun Park	CIKM 2025
2025-11-01	FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning Younesi, Abolfazl, Kiss et al.	arXiv
2025-10-31	DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm Junkang Liu, Yuxuan Tian, Fanhua Shang et al.	arXiv
2025-10-30	FedDPGu: Adaptive Prompt-tuning with Built-in Unlearning for Federated Learning Lishan Yang, Wei Emma Zhang, Ali Shakeri et al.
2025-10-30	Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility Kangkang Sun, Jiayuan Wu, Minyi Guo et al.	INFOCOM 2026
2025-10-20	CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification L. K. Li, Junbin Mao, Hanhe Lin et al.	arXiv
2025-10-19	Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment Qingqian Yang, Peishen Yan, Xiaoyu Wu et al.	ICCV 2025
2025-10-19	FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning Maximilian Andreas Hoefler, Karsten Mueller, Wojciech Samek	ICCV 2025
2025-10-07	Rethinking Federated Aggregation Under Heterogeneity: Scalabe Ensembles With Open-Set Recognition Mustafa Siddiqui, Muhammad Tahir	ICLR 2026 (withdrawn)
2025-10-07	Pretraining a Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized Paradigm Jinrui Zhang, Xindong Zhang, Lei Zhang	ICLR 2026 (withdrawn)
2025-10-07	PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma et al.	ICLR 2026 (submission)
2025-10-01	Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents Haoyuan Li, Mathias Funk, Aaqib Saeed	ICLR 2026
2025-10-01	FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility Kangkang Sun, Jun Wu, Minyi Guo et al.	ICDCS 2026
2025-09-24	Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity? Jan Fiszer, Dominika Ciupek, Maciej Malawski	Lecture Notes in Computer Science
2025-09-18	Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning Xiuwen Fang, Mang Ye	NeurIPS 2025
2025-09-18	Rethinking Fair Federated Learning from Parameter and Client View Kaiqi Guan, Wenke Huang, Xianda Guo et al.	NeurIPS 2025
2025-09-18	Gains: Fine-grained Federated Domain Adaptation in Open Set Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.	NeurIPS 2025
2025-09-18	FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Tianle Li, Yongzhi Huang, Linshan Jiang et al.	NeurIPS 2025
2025-09-18	FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models Pukang Ye, Junwei Luo, Jiachen Shen et al.	NeurIPS 2025
2025-09-18	FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning Fan Wu, Xinyu Yan, Jiabei Liu et al.	NeurIPS 2025
2025-09-18	FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts Wang Wei Bo, Yanpeng Sun, Yu Wang et al.	NeurIPS 2025
2025-09-18	FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Chenxin Li et al.	NeurIPS 2025
2025-09-18	Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning Danni Yang, Zhikang Chen, Sen Cui et al.	NeurIPS 2025
2025-09-18	DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning Yueyang Yuan, Wenke Huang, Guancheng Wan et al.	NeurIPS 2025
2025-09-18	A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.	NeurIPS 2025
2025-09-12	GradCAM-AE: A New Shield Defense against Poisoning Attacks on Federated Learning Jingjing Zheng, Kai Li, Xin Yuan et al.	ACM Transactions on Privacy and Security
2025-08-25	PPFL: A Personalized Federated Learning Framework for Heterogeneous Population Di Hao, Yi Yang, H. Ye et al.	INFORMS journal on computing
2025-07-29	FedCoT: Federated Chain-of-Thought Distillation for Large Language Models	ACL ARR 2025 (submission)
2025-07-15	Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning Haobo Qi, Feifei Wang, Hansheng Wang	INFORMS journal on computing
2025-07-01	pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani	ICLR 2026
2025-07-01	S2FGL: Spatial Spectral Federated Graph Learning Zihan Tan, Suyuan Huang, Guancheng Wan et al.	arXiv
2025-07-01	Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing Zhufeng Lu, Chentao Jia, Ming Hu et al.	arXiv
2025-07-01	Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection Rei Tamaru, Pei Li, Bin Ran	arXiv
2025-07-01	FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning Huan Wang, Haoran Li, Huaming Chen et al.	ICCV 2025
2025-07-01	BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning Thinh Dao, Dung Thuy Nguyen, Khoa D. Doan et al.	arXiv
2025-07-01	AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing Md Abrar Jahin, Taufikur Rahman Fuad, Muhammad Firoz Mridha et al.	ICCVW 2025
2025-06-09	MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users WenHao Wang, Mengying Yuan, Zijie Yu et al.	CFAgentic @ ICML'25 Oral
2025-06-09	FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching Sunny Gupta, Nikita Jangid, Shounak Das et al.	CFAgentic @ ICML'25 Poster
2025-06-06	RAIM: three-stage stackelberg game for hierarchical federated learning with reputation-aware incentive mechanism Cuihua Zuo, Peihua Xu, Yong Song et al.	Research Square
2025-06-01	UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) Sunny Gupta, Nikita Jangid, Amit Sethi	AAAI 2025
2025-06-01	Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models Yingqi Hu, Zhuo Zhang, Jingyuan Zhang et al.	ACL ARR 2025 (submission)
2025-06-01	Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning Jiahui Wu, Tiecheng Sun, Fucai Luo et al.	arXiv
2025-06-01	Latency Optimization for Wireless Federated Learning in Multihop Networks Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen	IEEE TVT
2025-06-01	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Jianqing Zhang, Xinghao Wu, Yanbing Zhou et al.	KDD 2025
2025-06-01	Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM Xun Li, Qiong Wu, Pingyi Fan et al.	IEEE Networking Letters
2025-06-01	Federated ADMM from Bayesian Duality Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez et al.	ICLR 2026
2025-06-01	FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model Md Jueal Mia, M. Hadi Amini	arXiv
2025-06-01	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni	arXiv
2025-06-01	Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Qiao Xiao, Boqian Wu, Andrey Poddubnyy et al.	arXiv
2025-05-11	FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models Weiying Zheng, Ziyue Lin, Pengxin Guo et al.	NeurIPS 2025 (submission)
2025-05-09	PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation	ACL ARR 2025 (submission)
2025-05-01	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Mengmeng Chen, Xiaohu Wu, Qiqi Liu et al.	ICML 2025
2025-05-01	Unlearning for Federated Online Learning to Rank: A Reproducibility Study Yiling Tao, Shuyi Wang, Jiaxi Yang et al.	arXiv
2025-05-01	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Shiwei Li, Xiandi Luo, Haozhao Wang et al.	ICML 2025
2025-05-01	SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution Wenwen He, Wenke Huang, Bin Yang et al.	ICML 2025
2025-05-01	Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo, Zhaohuan Zhan, Ziduo Yang et al.	NeurIPS 2025
2025-05-01	Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Hongqing Pan, Yanjun Zhang, Leo Yu Zhang et al.	IJCAI 2025
2025-05-01	Multimodal Federated Learning With Missing Modalities through Feature Imputation Network Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali et al.	Lecture Notes in Computer Science
2025-05-01	Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu, Yanting Gao, Siyuan Meng et al.	arXiv
2025-05-01	Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning Hongyao Chen, Tianyang Xu, Xiaojun Wu et al.	ICML 2025
2025-05-01	GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention Jiaru Qian, Guancheng Wan, Wenke Huang et al.	ICML 2025
2025-05-01	Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance Guoqing Chao, Zhenghao Zhang, Lei Meng et al.	ICML 2025
2025-05-01	Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation Yihao Yang, Wenke Huang, Guancheng Wan et al.	ICML 2025

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