Abstract: Federated learning (FL) allows clients at the edge to learn a shared global model without disclosing their private data. However, FL is susceptible to poisoning attacks, wherein an adversary ...
Abstract: While much effort has been devoted to deriving and analyzing effective convex formulations of signal processing problems, the gradients of convex functions also have critical applications ...