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Autor:
G., Daniel M. Jimenez, Solans, David, Heikkila, Mikko, Vitaletti, Andrea, Kourtellis, Nicolas, Anagnostopoulos, Aris, Chatzigiannakis, Ioannis
Recent advances in machine learning have highlighted Federated Learning (FL) as a promising approach that enables multiple distributed users (so-called clients) to collectively train ML models without sharing their private data. While this privacy-pr
Externí odkaz:
http://arxiv.org/abs/2411.12377
