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Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.

, , , and . NeurIPS, (2020)

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Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks., , , and . NeurIPS, (2020)Sageflow: Robust Federated Learning against Both Stragglers and Adversaries., , , and . NeurIPS, page 840-851. (2021)Few-Round Learning for Federated Learning., , , , and . NeurIPS, page 28612-28622. (2021)Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis., , , , and . CoRR, (2024)Cache Allocations for Consecutive Requests of Categorized Contents: Service Provider's Perspective., , , , and . WCNC, page 1-6. IEEE, (2020)Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration., , , , and . AAAI, page 11588-11596. AAAI Press, (2024)Probabilistic Caching Policy for Categorized Contents and Consecutive User Demands., , , , and . ICC, page 1-6. IEEE, (2019)Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning., , , and . ICLR, OpenReview.net, (2023)TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks., , and . INFOCOM, page 1-10. IEEE, (2021)Coded Distributed Computing over Packet Erasure Channels., , and . ISIT, page 717-721. IEEE, (2019)