Federated Learning: Architectures, Challenges, and Applications in Distribute Machine Learning Intelligence
Federated Learning (FL) is a recently emerging machine learning model proposed to solve the issue of ownership, privacy, and security in collaborative model training. With FL, unlike the traditional centralized learning, raw data transfer to a central server is not required, and several devices or nodes can locally tra...
Rachna Rathore, Bhawesh Kumawat, Mohammed Ismail Iqbal et al.
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