{"total":13,"rows":[{"id":"2102.07053","title":"Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients","created":"2021-02-14","cited_by_count":123,"area":null},{"id":"2110.10342","title":"Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond","created":"2021-10-20","cited_by_count":36,"area":null},{"id":"2302.02212","title":"Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity","created":"2023-02-04","cited_by_count":27,"area":null},{"id":"2308.00522","title":"Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup","created":"2023-07-30","cited_by_count":23,"area":null},{"id":"2109.05700","title":"Exploiting Heterogeneity in Robust Federated Best-Arm Identification","created":"2021-09-13","cited_by_count":20,"area":null},{"id":"2103.01319","title":"Adversarial training in communication constrained federated learning","created":"2021-03-01","cited_by_count":17,"area":null},{"id":"2301.08869","title":"A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret","created":"2023-01-21","cited_by_count":7,"area":null},{"id":"2203.06798","title":"The Role of Local Steps in Local SGD","created":"2022-03-14","cited_by_count":2,"area":null},{"id":"2309.09719","title":"FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data","created":"2023-09-18","cited_by_count":2,"area":null},{"id":"2305.15013","title":"Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2501.03222","title":"Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2209.12307","title":"On the Stability Analysis of Open Federated Learning Systems","created":"2022-09-25","cited_by_count":0,"area":null},{"id":"2412.07210","title":"EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models","created":"2024-12-10","cited_by_count":0,"area":null}],"next_cursor":null}