{"total":20,"rows":[{"id":"2202.02947","title":"Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks","created":"2022-02-07","cited_by_count":18,"area":null},{"id":"2205.06491","title":"Tighter Regret Analysis and Optimization of Online Federated Learning","created":"2022-05-13","cited_by_count":14,"area":null},{"id":"2409.12626","title":"Green Federated Learning: A new era of Green Aware AI","created":"2024-09-19","cited_by_count":12,"area":null},{"id":"2203.13950","title":"Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point","created":"2022-03-26","cited_by_count":10,"area":null},{"id":"2202.03070","title":"Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning","created":"2022-02-07","cited_by_count":6,"area":null},{"id":"2304.12422","title":"Multi-Source to Multi-Target Decentralized Federated Domain Adaptation","created":"2023-04-24","cited_by_count":6,"area":null},{"id":"2312.15361","title":"Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading","created":"2023-12-23","cited_by_count":5,"area":null},{"id":"2306.06399","title":"Personalized Graph Federated Learning with Differential Privacy","created":"2023-06-10","cited_by_count":4,"area":null},{"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":"2507.07320","title":"Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy","created":"2025-07-09","cited_by_count":4,"area":null},{"id":"2306.02990","title":"Integrated Sensing, Computation, and Communication for UAV-assisted Federated Edge Learning","created":"2023-06-05","cited_by_count":3,"area":null},{"id":"2111.15481","title":"Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs","created":"2021-11-30","cited_by_count":2,"area":null},{"id":"2311.04350","title":"Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks","created":"2023-11-07","cited_by_count":2,"area":null},{"id":"2407.07739","title":"UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2503.06145","title":"Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2409.04986","title":"DynamicFL: Federated Learning with Dynamic Communication Resource Allocation","created":"2024-09-08","cited_by_count":1,"area":null},{"id":"2302.12305","title":"Coded Matrix Computations for D2D-enabled Linearized Federated Learning","created":"2023-02-23","cited_by_count":0,"area":null},{"id":"2506.02972","title":"Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2605.09813","title":"Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2606.06687","title":"Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers","created":"2026-06-04","cited_by_count":0,"area":null}],"next_cursor":null}