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document
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)
Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...
conference paper 2023
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