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Cox, B.A. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)Federated Learning (FL) is a popular deep learning approach that prevents centralizing large amounts of data, and instead relies on clients that update a global model using their local datasets. Classical FL algorithms use a central federator that, for each training round, waits for all clients to send their model updates before aggregating them...conference paper 2022