conference-paper Open access

Practice of FATE: Performance Improving Techniques

Research footprint

At a glance

Citations
0
References
13
Comments
0
Paper overview

Abstract

Federated Learning is a type of privacy-preserving machine learning technology, which enables different parties to build a common, robust machine learning model together without sharing private data.

Record transparency

Publication details

DOI
10.1145/3587716.3587750
OpenAlex
W4386503388
Document type
conference-paper
Language
EN
Last metadata update
Community

Comments

Log in to join the discussion.

  1. No comments yet. Start the discussion.