Leon Wong

Ampere: Communication-Efficient and High-Accuracy Split Federated Learning

Ampere is a novel collaborative training system that simultaneously minimizes on-device computation and device-server communication while improving model accuracy and reduces standard deviation of accuracy, highlighting superior performance when faced with heterogeneous data.