Securing federated learning: A comparative review of privacy, trust, efficiency, and intrusion detection approaches
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Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...
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