A Review on Blockchain-Enabled Federated Learning: Security, Privacy, Scalability and Incentive Challenges
Federated Learning (FL) enables distributed machine learning without sharing raw data, but its reliance on a central aggregation server introduces critical vulnerabilities gradient inversion attacks, Byzantine poisoning, free-riding by rational participants, and single-point-of-failure risk. Blockchain has been propose...