RPCFL: a byzantine-robust and privacy-preserving clustered federated learning framework
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Cryptography and Data Security
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Cluster Computing
- Publisher
- Springer Science and Business Media LLC
- Volume
- 29
- Issue
- 2
- Publication date
- 2 February 2026
- Language
- EN
- Document type
- Book chapter