Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings

no code implementations • 2 Jun 2022 • Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang, Jerry Cai, Andrey Petrov, Sathya Iyer, Daoyu Huang, Patrick Yau, Arvind Sastha Kumar, Hitesh Jawa, Anamita Guha

The advantage of this approach includes leveraging high performance hardware (such as GPUs) and the ability of machine learning practitioners to do in depth data analysis to improve model performance.

BIG-bench Machine Learning Federated Learning