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pro vyhledávání: '"Gummadi, Shreya"'
Centralized learning requires data to be aggregated at a central server, which poses significant challenges in terms of data privacy and bandwidth consumption. Federated learning presents a compelling alternative, however, vanilla federated learning
Externí odkaz:
http://arxiv.org/abs/2411.04112
