Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

no code implementations • 19 Sep 2021 • Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzamana, Ted Scully, Haithem Afli

Federated Learning (FL), Split Learning (SL), and SplitFed Learning (SFL) are three recent developments in distributed machine learning that are gaining attention due to their ability to preserve the privacy of raw data.

Federated Learning Image Classification +1