#machine learning
Jul 2025
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.
Zihan Zhang, Leon Wong, Blesson Varghese
· IEEE Transactions on Paralle... · 1 citation