{"total":139,"rows":[{"id":"2111.08834","title":"Federated Learning for Smart Healthcare: A Survey","created":"2021-11-16","cited_by_count":184,"area":null},{"id":"2307.10616","title":"Heterogeneous Federated Learning: State-of-the-art and Research Challenges","created":"2023-07-20","cited_by_count":161,"area":null},{"id":"2211.08413","title":"Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges","created":"2022-11-15","cited_by_count":138,"area":null},{"id":"2112.02918","title":"When the Curious Abandon Honesty: Federated Learning Is Not Private","created":"2021-12-06","cited_by_count":127,"area":null},{"id":"2306.01603","title":"Decentralized Federated Learning: A Survey and Perspective","created":"2023-06-02","cited_by_count":86,"area":null},{"id":"2108.11887","title":"Federated Reinforcement Learning: Techniques, Applications, and Open Challenges","created":"2021-08-26","cited_by_count":81,"area":null},{"id":"2206.00187","title":"DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training","created":"2022-06-01","cited_by_count":74,"area":null},{"id":"2211.01549","title":"Client Selection in Federated Learning: Principles, Challenges, and Opportunities","created":"2022-11-03","cited_by_count":62,"area":null},{"id":"2303.10058","title":"No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier","created":"2023-03-17","cited_by_count":55,"area":null},{"id":"2208.11311","title":"Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments","created":"2022-08-24","cited_by_count":49,"area":null},{"id":"2307.09182","title":"Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey","created":"2023-07-18","cited_by_count":40,"area":null},{"id":"2211.08025","title":"FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers","created":"2022-11-15","cited_by_count":33,"area":null},{"id":"2203.09702","title":"Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey","created":"2022-03-18","cited_by_count":31,"area":null},{"id":"2412.06157","title":"Membership Inference Attacks and Defenses in Federated Learning: A Survey","created":"2024-12-09","cited_by_count":31,"area":"safety"},{"id":"2201.07316","title":"Towards Federated Clustering: A Federated Fuzzy $c$-Means Algorithm (FFCM)","created":"2022-01-18","cited_by_count":30,"area":null},{"id":"2101.00798","title":"Fusion of Federated Learning and Industrial Internet of Things: A Survey","created":"2021-01-04","cited_by_count":29,"area":null},{"id":"2302.02573","title":"Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey","created":"2023-02-06","cited_by_count":23,"area":null},{"id":"2412.13840","title":"Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey","created":"2024-12-18","cited_by_count":23,"area":null},{"id":"2306.03558","title":"Machine Unlearning: A Survey","created":"2023-06-06","cited_by_count":19,"area":"safety"},{"id":"2401.02094","title":"PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning","created":"2024-01-04","cited_by_count":19,"area":null},{"id":"2105.01798","title":"Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence","created":"2021-05-04","cited_by_count":18,"area":null},{"id":"2301.03377","title":"Machine Learning for Large-Scale Optimization in 6G Wireless Networks","created":"2023-01-03","cited_by_count":18,"area":null},{"id":"2312.08667","title":"Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey","created":"2023-12-14","cited_by_count":18,"area":null},{"id":"2206.10380","title":"An Energy and Carbon Footprint Analysis of Distributed and Federated Learning","created":"2022-06-21","cited_by_count":16,"area":null},{"id":"2302.01677","title":"Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks","created":"2023-02-03","cited_by_count":16,"area":null},{"id":"2308.11841","title":"A Survey for Federated Learning Evaluations: Goals and Measures","created":"2023-08-23","cited_by_count":16,"area":null},{"id":"2402.15903","title":"ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices","created":"2024-02-24","cited_by_count":16,"area":null},{"id":"2110.02182","title":"A Systematic Survey of Blockchained Federated Learning","created":"2021-10-05","cited_by_count":15,"area":null},{"id":"2205.07855","title":"Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review","created":"2022-05-07","cited_by_count":15,"area":null},{"id":"2309.11039","title":"Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems","created":"2023-09-20","cited_by_count":15,"area":null},{"id":"2101.09878","title":"Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy","created":"2021-01-25","cited_by_count":14,"area":null},{"id":"2106.11814","title":"Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective","created":"2021-06-22","cited_by_count":14,"area":null},{"id":"2212.01448","title":"PGFed: Personalize Each Client's Global Objective for Federated Learning","created":"2022-12-02","cited_by_count":13,"area":null},{"id":"2303.11673","title":"A Survey on Class Imbalance in Federated Learning","created":"2023-03-21","cited_by_count":13,"area":null},{"id":"2111.07392","title":"Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges","created":"2021-11-14","cited_by_count":12,"area":null},{"id":"2104.13130","title":"Secure and Efficient Federated Learning Through Layering and Sharding Blockchain","created":"2021-04-27","cited_by_count":10,"area":null},{"id":"2404.14389","title":"Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction","created":"2024-04-22","cited_by_count":10,"area":null},{"id":"2211.01914","title":"FedGen: Generalizable Federated Learning for Sequential Data","created":"2022-11-03","cited_by_count":9,"area":null},{"id":"2306.17170","title":"An Overview on Generative AI at Scale with Edge-Cloud Computing","created":"2023-06-02","cited_by_count":9,"area":null},{"id":"2311.18498","title":"Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach","created":"2023-11-30","cited_by_count":9,"area":null},{"id":"2105.03288","title":"A Hybrid Architecture for Federated and Centralized Learning","created":"2021-05-07","cited_by_count":8,"area":null},{"id":"2204.09746","title":"Efficient Wireless Federated Learning with Partial Model Aggregation","created":"2022-04-20","cited_by_count":8,"area":null},{"id":"2207.08057","title":"Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning","created":"2022-07-17","cited_by_count":8,"area":null},{"id":"2306.03240","title":"Improving Accelerated Federated Learning with Compression and Importance Sampling","created":"2023-06-05","cited_by_count":8,"area":null},{"id":"2402.08578","title":"FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing","created":"2024-02-13","cited_by_count":8,"area":null},{"id":"2201.12976","title":"Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training","created":"2022-01-31","cited_by_count":7,"area":null},{"id":"2204.03027","title":"Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks","created":"2022-04-06","cited_by_count":7,"area":null},{"id":"2208.10273","title":"Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning","created":"2022-08-14","cited_by_count":7,"area":null},{"id":"2304.09876","title":"Model Pruning Enables Localized and Efficient Federated Learning for Yield Forecasting and Data Sharing","created":"2023-04-19","cited_by_count":7,"area":null},{"id":"2304.12076","title":"Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models","created":"2023-04-24","cited_by_count":7,"area":"diffusion"},{"id":"2312.14751","title":"Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models","created":"2023-12-22","cited_by_count":7,"area":null},{"id":"2201.05172","title":"Jamming Attacks on Federated Learning in Wireless Networks","created":"2022-01-13","cited_by_count":6,"area":null},{"id":"2210.16520","title":"Fast-Convergent Federated Learning via Cyclic Aggregation","created":"2022-10-29","cited_by_count":6,"area":null},{"id":"2211.11281","title":"Intelligent Computing: The Latest Advances, Challenges and Future","created":"2022-11-21","cited_by_count":6,"area":null},{"id":"2212.11194","title":"Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks","created":"2022-12-21","cited_by_count":6,"area":null},{"id":"2304.08602","title":"Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives","created":"2023-04-17","cited_by_count":6,"area":null},{"id":"2312.10930","title":"Deep Learning Approaches for Seizure Video Analysis: A Review","created":"2023-12-18","cited_by_count":6,"area":null},{"id":"2302.06730","title":"Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation","created":"2023-02-13","cited_by_count":5,"area":null},{"id":"2310.13236","title":"An Efficient Federated Learning Framework for Training Semantic Communication System","created":"2023-10-20","cited_by_count":5,"area":null},{"id":"2404.09259","title":"FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity","created":"2024-04-14","cited_by_count":5,"area":null},{"id":"2410.19375","title":"COMSPLIT: A Communication-Aware Split Learning Design for Heterogeneous IoT Platforms","created":"2024-10-25","cited_by_count":5,"area":null},{"id":"2502.02692","title":"Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2107.04129","title":"Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform","created":"2021-07-08","cited_by_count":4,"area":null},{"id":"2201.09384","title":"A Comprehensive Survey on Federated Learning: Concept and Applications","created":"2022-01-23","cited_by_count":4,"area":null},{"id":"2203.13517","title":"Sparse Federated Learning with Hierarchical Personalized Models","created":"2022-03-25","cited_by_count":4,"area":null},{"id":"2211.03615","title":"MAISON -- Multimodal AI-based Sensor platform for Older Individuals","created":"2022-11-07","cited_by_count":4,"area":null},{"id":"2302.03314","title":"Federated Variational Inference Methods for Structured Latent Variable Models","created":"2023-02-07","cited_by_count":4,"area":null},{"id":"2306.14443","title":"Federated Learning on Non-iid Data via Local and Global Distillation","created":"2023-06-26","cited_by_count":4,"area":"distill"},{"id":"2312.04688","title":"Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights","created":"2023-12-07","cited_by_count":4,"area":null},{"id":"2403.20188","title":"Distributed Swarm Learning for Edge Internet of Things","created":"2024-03-29","cited_by_count":4,"area":null},{"id":"2405.10513","title":"Federated Learning With Energy Harvesting Devices: An MDP Framework","created":"2024-05-17","cited_by_count":4,"area":null},{"id":"2405.20776","title":"Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach","created":"2024-05-27","cited_by_count":4,"area":"safety"},{"id":"2211.10948","title":"FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training","created":"2022-11-20","cited_by_count":3,"area":null},{"id":"2211.14292","title":"Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression","created":"2022-11-25","cited_by_count":3,"area":null},{"id":"2310.05269","title":"Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications","created":"2023-10-08","cited_by_count":3,"area":null},{"id":"2401.12356","title":"Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems","created":"2024-01-22","cited_by_count":3,"area":null},{"id":"2405.20126","title":"Federated and Transfer Learning for Cancer Detection Based on Image Analysis","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2407.11069","title":"Combining Federated Learning and Control: A Survey","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2409.02127","title":"Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness","created":"2024-09-01","cited_by_count":3,"area":null},{"id":"2410.07286","title":"Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning","created":"2024-10-09","cited_by_count":3,"area":null},{"id":"2410.15473","title":"A Bayesian Framework for Clustered Federated Learning","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2412.01630","title":"Review of Mathematical Optimization in Federated Learning","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2110.07649","title":"Federated learning and next generation wireless communications: A survey on bidirectional relationship","created":"2021-10-14","cited_by_count":2,"area":null},{"id":"2112.07718","title":"Scatterbrained: A flexible and expandable pattern for decentralized machine learning","created":"2021-12-14","cited_by_count":2,"area":null},{"id":"2203.10472","title":"Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs","created":"2022-03-20","cited_by_count":2,"area":null},{"id":"2309.01816","title":"Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2310.02698","title":"Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2405.04765","title":"When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices","created":"2024-05-08","cited_by_count":2,"area":null},{"id":"2407.18096","title":"Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2501.11267","title":"Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks","created":"2025-01-20","cited_by_count":2,"area":null},{"id":"2505.06307","title":"Large Language Model-driven Security Assistant for Internet of Things via Chain-of-Thought","created":"2025-05-08","cited_by_count":2,"area":null},{"id":"2510.03284","title":"Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2309.10337","title":"FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2312.04597","title":"TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance","created":"2023-12-06","cited_by_count":1,"area":null},{"id":"2403.14905","title":"Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2405.02060","title":"Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case","created":"2024-05-03","cited_by_count":1,"area":null},{"id":"2405.02360","title":"Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning","created":"2024-05-03","cited_by_count":1,"area":null},{"id":"2405.13832","title":"Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2412.14668","title":"LoLaFL: Low-Latency Federated Learning via Forward-only Propagation","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2503.04052","title":"The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence","created":"2025-03-06","cited_by_count":1,"area":null}],"next_cursor":"100"}