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

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 4 cited

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

Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang +8

The classical machine learning paradigm requires the aggregation of user data in a central location where machine learning practitioners can preprocess data, calculate features, tu…