no code implementations • 1 Aug 2022 • Jialiang Han, Yudong Han, Gang Huang, Yun Ma
An important type of FL is cross-silo FL, which enables a small scale of organizations to cooperatively train a shared model by keeping confidential data locally and aggregating weights on a central parameter server.
no code implementations • 14 Jan 2022 • Jialiang Han, Yun Ma, Yudong Han
Federated learning (FL) is an emerging promising privacy-preserving machine learning paradigm and has raised more and more attention from researchers and developers.
no code implementations • 13 Jan 2021 • Jialiang Han, Yun Ma
The reason is that state-of-the-art recommendation systems require to gather and process the user data in centralized servers but the interaction behaviors data used for temporal recommendation are usually non-transactional data that are not allowed to gather without the explicit permission of users according to GDPR.