Abstract: Federated Learning (FL) enables decentralized learning while preserving data privacy. However, ensuring security and optimizing resource utilization in FL remains challenging, particularly ...
Abstract: While reinforcement learning (RL) has shown experimental success in a number of applications, it is known to be sensitive to noise and perturbations in the parameters of the system, leading ...