SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)

no code implementations • 11 Jan 2025 • Phillip Rieger, Alessandro Pegoraro, Kavita Kumari, Tigist Abera, Jonathan Knauer, Ahmad-Reza Sadeghi

Split Learning (SL) is a distributed deep learning approach enabling multiple clients and a server to collaboratively train and infer on a shared deep neural network (DNN) without requiring clients to share their private local data.

Federated Learning