Chang Ma

Communication-Efficient Federated Learning under Non-IID Data: Aggregation and Compression Strategies

As data in scenarios such as medical, transportation and the Internet of Things continue to be dispersed to institutions and edge devices, how to balance the quality of model training and communication costs without concentrating raw data has become an important issue in the deployment of federated learning. Federated...