Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks

Junhe Zhang, Wanli Ni, Dongyu Wang

As a paradigm of distributed machine learning, federated learning typically requires all edge devices to train a complete model locally. However, with the increasing scale of artif…