Abstract: Federated learning involves a group of workers and a central server to train a machine learning model in a distributed manner. However, the distributed structure poses challenges in terms of ...
Abstract: In federated learning, workers periodically upload locally computed weights to a federated learning server (FL server). When Byzantine attacks are presented in the system, attacked workers ...
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