no code implementations • 13 Oct 2022 • Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
To address this problem, we develop a novel feature protection scheme against the reconstruction attack that effectively misleads the search to some pre-specified random values.
no code implementations • 18 Jun 2022 • Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
Current FL systems employ a participant selection strategy to select fast clients with quality data in each iteration.
no code implementations • 9 Sep 2021 • Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
The increasing demand for privacy-preserving collaborative learning has given rise to a new computing paradigm called federated learning (FL), in which clients collaboratively train a machine learning (ML) model without revealing their private training data.
1 code implementation • 2 Sep 2021 • Zhifeng Jiang, Wei Wang, Yang Liu
Homomorphic encryption (HE) is a promising privacy-preserving technique for cross-silo federated learning (FL), where organizations perform collaborative model training on decentralized data.