{"total":14,"rows":[{"id":"2206.07284","title":"A Survey on Gradient Inversion: Attacks, Defenses and Future Directions","created":"2022-06-15","cited_by_count":40,"area":null},{"id":"2404.15381","title":"Advances and Open Challenges in Federated Foundation Models","created":"2024-04-23","cited_by_count":36,"area":null},{"id":"2401.04472","title":"A Survey on Efficient Federated Learning Methods for Foundation Model Training","created":"2024-01-09","cited_by_count":29,"area":null},{"id":"2207.07223","title":"Accelerated Federated Learning with Decoupled Adaptive Optimization","created":"2022-07-14","cited_by_count":23,"area":null},{"id":"2208.02442","title":"FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning","created":"2022-08-04","cited_by_count":7,"area":null},{"id":"2409.18448","title":"Hierarchical Federated Learning with Multi-Timescale Gradient Correction","created":"2024-09-27","cited_by_count":7,"area":null},{"id":"2205.13415","title":"A Fair Federated Learning Framework With Reinforcement Learning","created":"2022-05-26","cited_by_count":6,"area":null},{"id":"2405.20431","title":"Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2302.09904","title":"WW-FL: Secure and Private Large-Scale Federated Learning","created":"2023-02-20","cited_by_count":2,"area":null},{"id":"2202.12751","title":"FedCAT: Towards Accurate Federated Learning via Device Concatenation","created":"2022-02-23","cited_by_count":1,"area":null},{"id":"2211.10684","title":"Personalized Federated Learning with Hidden Information on Personalized Prior","created":"2022-11-19","cited_by_count":1,"area":null},{"id":"2408.09762","title":"Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets","created":"2024-08-19","cited_by_count":1,"area":null},{"id":"2509.05142","title":"Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2204.11017","title":"Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets","created":"2022-04-23","cited_by_count":0,"area":null}],"next_cursor":null}