selection for intrusion detection (ID) in mobile edge computing (MEC). Specifically, we
leverage federated learning (FL) to preserve privacy by training model locally, and utilize
transfer learning (TL) to improve training efficiency by knowledge transfer. For FL, unreliable
and low-quality clients should not be selected to participate in the training. Therefore, we
integrate FTL with a reinforcement learning (RL)-based client selection scheme to achieve …