FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients

Jiyun Shin, Jinhyun Ahn, Honggu Kang +1

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