{"total":17,"rows":[{"id":"2403.13101","title":"AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks","created":"2024-03-19","cited_by_count":64,"area":null},{"id":"2310.13981","title":"Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices","created":"2023-10-21","cited_by_count":13,"area":null},{"id":"2310.17944","title":"A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability","created":"2023-10-27","cited_by_count":7,"area":null},{"id":"2302.13258","title":"Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing","created":"2023-02-26","cited_by_count":4,"area":null},{"id":"2307.14364","title":"Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis","created":"2023-07-25","cited_by_count":4,"area":null},{"id":"2312.15926","title":"FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models","created":"2023-12-26","cited_by_count":4,"area":null},{"id":"2409.18796","title":"Hierarchical Federated ADMM","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2208.11848","title":"On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations","created":"2022-08-25","cited_by_count":2,"area":null},{"id":"2409.04022","title":"Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression","created":"2024-09-06","cited_by_count":2,"area":null},{"id":"2602.03019","title":"FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2408.14116","title":"Hierarchical Learning and Computing over Space-Ground Integrated Networks","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2403.01540","title":"A Hierarchical Federated Learning Approach for the Internet of Things","created":"2024-03-03","cited_by_count":0,"area":null},{"id":"2409.13645","title":"DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2409.19509","title":"Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning","created":"2024-09-29","cited_by_count":0,"area":null},{"id":"2410.10833","title":"Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning","created":"2024-09-29","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},{"id":"2606.10774","title":"Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}