{"total":17,"rows":[{"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":"2207.07223","title":"Accelerated Federated Learning with Decoupled Adaptive Optimization","created":"2022-07-14","cited_by_count":23,"area":null},{"id":"2210.08285","title":"FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation","created":"2022-10-15","cited_by_count":21,"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":"2301.06447","title":"HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association","created":"2023-01-16","cited_by_count":17,"area":null},{"id":"2107.06548","title":"Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data","created":"2021-07-14","cited_by_count":10,"area":null},{"id":"2305.09042","title":"Adaptive Federated Pruning in Hierarchical Wireless Networks","created":"2023-05-15","cited_by_count":10,"area":null},{"id":"2109.03999","title":"Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies","created":"2021-09-09","cited_by_count":9,"area":null},{"id":"2202.13606","title":"Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations","created":"2022-02-28","cited_by_count":9,"area":null},{"id":"2112.09355","title":"From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization","created":"2021-12-17","cited_by_count":8,"area":null},{"id":"2102.07500","title":"On the Impact of Device and Behavioral Heterogeneity in Federated Learning","created":"2021-02-15","cited_by_count":4,"area":null},{"id":"2501.01828","title":"Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning","created":"2025-01-03","cited_by_count":3,"area":null},{"id":"2307.13995","title":"Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space","created":"2023-07-26","cited_by_count":2,"area":null},{"id":"2308.13157","title":"Federated Learning in IoT: a Survey from a Resource-Constrained Perspective","created":"2023-08-25","cited_by_count":2,"area":null},{"id":"2312.10411","title":"Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data","created":"2023-12-16","cited_by_count":1,"area":null},{"id":"2102.01733","title":"FedProf: Selective Federated Learning with Representation Profiling","created":"2021-02-02","cited_by_count":0,"area":null},{"id":"2502.09303","title":"Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology","created":"2025-02-13","cited_by_count":0,"area":null}],"next_cursor":null}