FASIL: A challenge-based framework for secure and privacy-preserving federated learning.
Ferhat KarakoçBetül Güvenç PaltunLeyli KaraçayÖmer Faruk TunaRamin FuladiUtku GülenPublished in: IACR Cryptol. ePrint Arch. (2024)
Keyphrases
- privacy preserving
- multi party
- vertically partitioned data
- privacy preserving data mining
- privacy preservation
- scalar product
- horizontally partitioned data
- privacy preserving data mining algorithms
- sensitive data
- differential privacy
- privacy guarantees
- secure multi party computation
- secure multiparty computation