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Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem., , и . Autom., (2022)Redundancy in cost functions for Byzantine fault-tolerant federated learning., , и . ResilientFL, стр. 4-6. ACM, (2021)Impact of Redundancy on Resilience in Distributed Optimization and Learning., , и . ICDCN, стр. 80-89. ACM, (2023)Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning., и . CoRR, (2019)Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 6246-6283. PMLR, (2022)Robust Collaborative Learning with Linear Gradient Overhead., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 9761-9813. PMLR, (2023)Privacy of Agents' Costs in Peer-to-Peer Distributed Optimization., и . CoRR, (2019)Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates., , , , , , и . ICML, OpenReview.net, (2024)Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination., , и . DSN Workshops, стр. 175-181. IEEE, (2021)Confidentiality in distributed average information consensus., и . CDC, стр. 6709-6714. IEEE, (2016)