Analysis of Data Aggregation Methods Based on Federated Learning Environment and Privacy Protection
This paper describes privacy preserving data aggregation methods based on encryption,differential privacy,homomorphic encryption,and secure multi-party computation.It introduces the principles of federated learning,its advantages and challenges in application fields,privacy protection technologies,and explores privacy protection solutions in federated learning environments.
万方数据
维普
