FL-EASGD: Federated Learning Privacy Security Method Based on Homomorphic Encryption
Abstract
Federated learning ensures data privacy and security by sharing models among multiple computing nodes instead of plaintext data. However, there is still a potential risk of privacy leakage, for example, attackers can obtain t... | Find, read and cite all the research you need on Tech Science Press
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