Semi-Federated Learning of an Embedding Space Across Multiple Machine Clusters

Inventor(s)

Abstract

Provided are systems and methods for privacy-preserving learning of a shared embedding space for data split across multiple separate clusters of computing machines. In one example, the multiple separate clusters of computing machines can correspond to multiple separate data silos.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

"Semi-Federated Learning of an Embedding Space Across Multiple Machine Clusters", Technical Disclosure Commons, (January 30, 2024)
https://www.tdcommons.org/dpubs_series/6646