Key papers

• Better Generative Replay for Continual Federated Learning (2023)
  Daiqing Qi et al.
  8.60
• Knowledge Distillation for Federated Learning: a Practical Guide (2022)
  Alessio Mora et al.
  6.78
• On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach (2026)
  Jiahui Bai et al.
  6.66
• Mobility-Aware Decentralized Federated Learning with Joint Optimization of Local Iteration and Leader Selection for Vehicular Networks (2025)
  Dongyu Chen et al.
  6.63
• A Survey on AI for 6G: Challenges and Opportunities (2026)
  Constantina Chatzieleftheriou et al.
  6.35
• Capture Global Feature Statistics for One-Shot Federated Learning (2025)
  Zenghao Guan et al.
  5.24
• Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection (2024)
  Liangqi Yuan et al.
  4.90
• A Tight Theory of Error Feedback Algorithms in Distributed Optimization (2026)
  Daniel Berg Thomsen et al.
  4.90
• Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks (2025)
  Shuai Wang et al.
  4.71
• Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification (2025)
  Jonas Klotz et al.
  4.71
• Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning (2025)
  Ozlem Ceviz et al.
  4.71
• Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities (2024)
  Zikai Zhang et al.
  4.54
• Federated Large Language Models: Current Progress and Future Directions (2024)
  Yuhang Yao et al.
  4.54
• TallyTrain: Communication-Efficient Federated Distillation (2026)
  Radhakrishna Achanta et al.
  4.39
• Know Thy Neighbor: Cross-TEE Mutual Attestation (2026)
  Daniel Andrade et al.
  4.39
• QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition (2026)
  Quoc Bao Phan et al.
  4.39
• FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images (2026)
  Alessandro Di Matteo et al.
  4.39
• Federated Lightweight Fine-Tuning (2026)
  Radhakrishna Achanta et al.
  4.39
• Coherence in Control: Bridging Many-Core Mapping and Routing through Cost Unification (2026)
  Guochu Xiong et al.
  4.39
• Assessment in Team Problem-Solving Exercises in Computing Education (2026)
  Valdemar \v{S}v\'abensk\'y et al.
  4.39
• Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning (2026)
  Liwei Wang et al.
  4.39
• Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction (2026)
  Aubida A. Al-Hameed et al.
  4.39
• HiTMS: A High-Throughput Multi-Stream Linguistic Steganography Framework (2026)
  Ruiyi Yan et al.
  4.39
• Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation (2026)
  Cesare Spinoso-Di Piano et al.
  4.39
• MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems (2026)
  Maxime Elkael et al.
  4.39
• Inverse Probability Weighting and Age-of-Information Aggregation for Decentralized Federated Learning under Partial Reception (2026)
  Chanuka A. S. Hewa Kaluannakkage et al.
  4.33
• A Survey on Federated Causal Discovery and Inference (2026)
  Xianjie Guo et al.
  4.33
• Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning (2025)
  Jingyun Chen et al.
  4.30
• Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins (2026)
  Deepika Saxena and Ashutosh Kumar Singh
  4.27
• Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence (2026)
  Xianke Qiang et al.
  4.27
• Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks (2026)
  Zhishuai Guo et al.
  4.27
• Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks (2026)
  Kangmin Kim et al.
  4.27
• DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs (2026)
  Ashley Hoi-Ting Au et al.
  4.27
• Over-the-Air Fair Federated Learning via Multi-Objective Optimization (2025)
  Shayan Mohajer Hamidi et al.
  4.19
• Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing (2025)
  Minghong Fang et al.
  4.19
• Distributed Adaptive Learning Under Communication Constraints (2021)
  Marco Carpentiero et al.
  4.13
• FedICT: Federated Multi-task Distillation for Multi-access Edge Computing (2023)
  Zhiyuan Wu et al.
  4.13
• On the Optimization of Model Aggregation for Federated Learning at the Network Edge (2025)
  Mengyao Li et al.
  4.09
• Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization (2024)
  Khiem Le et al.
  4.08
• From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare (2024)
  Ming Li et al.
  4.03
• Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks (2025)
  Yusuf Emir Sezgin et al.
  3.97
• Federated Split Learning with Improved Communication and Storage Efficiency (2025)
  Yujia Mu et al.
  3.86
• Enhancing Efficiency in Multidevice Federated Learning through Data Selection (2022)
  Fan Mo et al.
  3.71
• FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization (2025)
  Haonan Wang et al.
  3.70
• Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control (2025)
  Yongjie Fu et al.
  3.70
• Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation (2025)
  Xinge Ma et al.
  3.64
• Federated Continual Learning: Concepts, Challenges, and Solutions (2025)
  Parisa Hamedi et al.
  3.59
• Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions (2025)
  Na Yan et al.
  3.53
• Over-the-Air FEEL with Integrated Sensing: Joint Scheduling and Beamforming Design (2025)
  Saba Asaad et al.
  3.53
• Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs (2025)
  Amit Kumar Bhuyan et al.
  3.53
• FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels (2026)
  Md Nahid Hasan Shuvo et al.
  3.51
• Secure Aggregation with Top-K Sparsification in Decentralized Federated Learning (2026)
  Hengxuan Tang et al.
  3.45
• Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models (2024)
  Sajjad Ghiasvand et al.
  3.42
• FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection (2026)
  Yutong He et al.
  3.34
• Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks (2025)
  Mohamed Elmahallawy et al.
  3.21
• FedPOD: the deployable units of training for federated learning (2025)
  Daewoon Kim et al.
  3.21
• PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications (2022)
  Tingting Yuan et al.
  3.19
• FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks (2024)
  M. Rostami et al.
  3.15
• Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links (2025)
  Miroslav Popovic et al.
  3.15
• Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning (2025)
  Bishal K C et al.
  3.04