Abstract: To overcome the shortcomings of current approaches in feature extraction, specifically the lack of in-depth feature extraction and the absence of high-order feature aggregation for both ...

Abstract: As a critical component in federated learning (FL), secure aggregation enables the server to learn the aggregated model without observing clients’ local training gradients. However, limited ...