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pro vyhledávání: '"Javaherian, Simin"'
Federated learning (FL) is an emerging distributed machine learning paradigm that enables collaborative training of machine learning models over decentralized devices without exposing their local data. One of the major challenges in FL is the presenc
Externí odkaz:
http://arxiv.org/abs/2407.07124
Federated learning (FL) is an emerging distributed machine learning paradigm enabling collaborative model training on decentralized devices without exposing their local data. A key challenge in FL is the uneven data distribution across client devices
Externí odkaz:
http://arxiv.org/abs/2403.04144
Federated Learning (FL) is an emerging paradigm in machine learning without exposing clients' raw data. In practical scenarios with numerous clients, encouraging fair and efficient client participation in federated learning is of utmost importance, w
Externí odkaz:
http://arxiv.org/abs/2401.16350