Yulong Gao

Efficient Federated Learning With Adaptive Model Pruning and Quantization Over Wireless Networks

Federated learning (FL) enables multiple devices to collaboratively train a global model without sharing local data. However, due to limited local computing capability and communication bandwidth, FL suffers from high learning latency, especially when the model size is large. To address these issues, we propose APQ-FL,...