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Few-Round Learning for Federated Learning., , , , and . NeurIPS, page 28612-28622. (2021)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)Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis., , , , and . CoRR, (2024)Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection., , , , and . CoRR, (2024)SplitGP: Achieving Both Generalization and Personalization in Federated Learning., , , , and . CoRR, (2022)Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks., , , , and . ICC, page 2992-2997. IEEE, (2024)Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning., , , and . ICLR, OpenReview.net, (2023)Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning., , , and . ICML, OpenReview.net, (2024)NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks., , , and . CoRR, (2023)