FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients

no code implementations • 23 Oct 2023 • Jiyun Shin, JinHyun Ahn, Honggu Kang, Joonhyuk Kang

Foundation models (FMs) have demonstrated remarkable performance in machine learning but demand extensive training data and computational resources.

Federated Learning