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Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training.

, , and . IEEE J. Sel. Areas Commun., 40 (9): 2694-2716 (2022)

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Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training., , and . IEEE J. Sel. Areas Commun., 40 (9): 2694-2716 (2022)Machine Unlearning of Federated Clusters., , , , and . CoRR, (2022)CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning., , , and . IEEE/ACM Trans. Netw., 30 (1): 148-161 (2022)pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs., , , , and . Allerton, page 100-107. IEEE, (2019)Tree Gradient Coding., , , and . ISIT, page 2808-2812. IEEE, (2019)Coded Computing for Distributed Graph Analytics., , , and . IEEE Trans. Inf. Theory, 66 (10): 6534-6554 (2020)Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks., , , , , , and . IEEE J. Sel. Areas Commun., 39 (1): 233-250 (2021)Federated Learning of Large Models at the Edge via Principal Sub-Model Training., , , , and . CoRR, (2022)ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys., , and . CoRR, (2024)Coded Computing for Federated Learning at the Edge., , , , and . CoRR, (2020)