Abstract: In federated learning, malicious attackers may control clients and servers to perform gradient poisoning, forge aggregation results, and infer individual gradient privacy, posing serious ...
Abstract: Client-edge-cloud Federated Learning (CEC-FL) is emerging as an increasingly popular FL paradigm, alleviating the performance limitations of conventional cloud-centric Federated Learning (FL ...