{"total":19,"rows":[{"id":"2302.01772","title":"Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity","created":"2023-02-03","cited_by_count":65,"area":null},{"id":"2309.13591","title":"Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity","created":"2023-09-24","cited_by_count":26,"area":null},{"id":"2302.06079","title":"Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting","created":"2023-02-13","cited_by_count":14,"area":null},{"id":"2402.12780","title":"Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates","created":"2024-02-20","cited_by_count":14,"area":null},{"id":"2209.07716","title":"Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2201.13372","title":"Robust supervised learning with coordinate gradient descent","created":"2022-01-31","cited_by_count":3,"area":null},{"id":"2405.14759","title":"Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training","created":"2024-05-23","cited_by_count":3,"area":null},{"id":"2406.07407","title":"Private Geometric Median","created":"2024-06-11","cited_by_count":3,"area":null},{"id":"2409.17328","title":"The poison of dimensionality","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2509.02970","title":"Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation","created":"2025-09-03","cited_by_count":3,"area":null},{"id":"2501.09621","title":"Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2606.30931","title":"RoPoLL: Robust Panel of LLM Judges","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2406.17188","title":"Geometric Median (GM) Matching for Robust Data Pruning","created":"2024-06-25","cited_by_count":1,"area":null},{"id":"2408.13683","title":"Submodular Maximization Approaches for Equitable Client Selection in Federated Learning","created":"2024-08-24","cited_by_count":1,"area":null},{"id":"2409.08640","title":"Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering","created":"2024-09-13","cited_by_count":1,"area":null},{"id":"2504.00564","title":"Geometric Median Matching for Robust k-Subset Selection from Noisy Data","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2306.05655","title":"Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications","created":"2023-06-09","cited_by_count":0,"area":null},{"id":"2309.14512","title":"Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing","created":"2023-09-25","cited_by_count":0,"area":null},{"id":"2402.12828","title":"Tracking the Median of Gradients with a Stochastic Proximal Point Method","created":"2024-02-20","cited_by_count":0,"area":null}],"next_cursor":null}