{"total":23,"rows":[{"id":"2307.07980","title":"Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment","created":"2023-07-16","cited_by_count":8,"area":null},{"id":"2308.14606","title":"On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning","created":"2023-08-28","cited_by_count":8,"area":null},{"id":"2410.10418","title":"Unified Breakdown Analysis for Byzantine Robust Gossip","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2407.08632","title":"Generalization Error Matters in Decentralized Learning Under Byzantine Attacks","created":"2024-07-11","cited_by_count":4,"area":null},{"id":"2408.08628","title":"A survey on secure decentralized optimization and learning","created":"2024-08-16","cited_by_count":4,"area":null},{"id":"2303.13326","title":"Decentralized Adversarial Training over Graphs","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2310.07320","title":"Byzantine-Resilient Decentralized Multi-Armed Bandits","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2412.01630","title":"Review of Mathematical Optimization in Federated Learning","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2308.05292","title":"Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error","created":"2023-08-10","cited_by_count":2,"area":null},{"id":"2310.13862","title":"Competitive Advantage Attacks to Decentralized Federated Learning","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2304.14024","title":"Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization","created":"2023-04-27","cited_by_count":1,"area":null},{"id":"2405.03449","title":"Byzantine-Robust Gossip: Insights from a Dual Approach","created":"2024-05-06","cited_by_count":1,"area":null},{"id":"2506.09438","title":"Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2406.02600","title":"Data Quality in Edge Machine Learning: A State-of-the-Art Survey","created":"2024-06-01","cited_by_count":0,"area":null},{"id":"2504.17471","title":"GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework","created":"2025-04-24","cited_by_count":0,"area":null},{"id":"2506.01989","title":"Coded Robust Aggregation for Distributed Learning under Byzantine Attacks","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2506.15181","title":"ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2512.02852","title":"Adaptive Decentralized Federated Learning for Robust Optimization","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2512.12022","title":"DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2601.02682","title":"Topology-Independent Robustness of the Weighted Mean under Label Poisoning Attacks in Heterogeneous Decentralized Learning","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2604.00449","title":"Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2607.10305","title":"Byzantine Accountability Without Consensus: Strong Eventual Consistency for Non-Associative, Stochastic, Robust Aggregation","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2609.25701","title":"Fully Byzantine-Resilient Multi-Agent Reinforcement Learning","created":"2026-09-22","cited_by_count":0,"area":null}],"next_cursor":null}