AutoFLIP

AutoFLIP framework harnesses client diversity to prune federated models efficiently

Researchers have developed AutoFLIP, a new framework designed to improve the efficiency of Federated Learning (FL) on devices with limited resources. This approach leverages the diversity of client data, rather than tre…