Secure Embedding Aggregation for Federated Representation Learning

no code implementations • 18 Jun 2022 • Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun

We consider a federated representation learning framework, where with the assistance of a central server, a group of $N$ distributed clients train collaboratively over their private data, for the representations (or embeddings) of a set of entities (e. g., users in a social network).

Federated Learning Privacy Preserving +1

Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation

no code implementations • 24 Apr 2022 • Jinbao Zhu, Hengxuan Tang, Songze Li, Yijia Chang

We consider the problem of evaluating arbitrary multivariate polynomials over a massive dataset containing multiple inputs, on a distributed computing system with a master node and multiple worker nodes.

Distributed Computing