Our FedKTL can produce client-task-related prototypical image-vector pairs via the generator's inference on the server. With these pairs, each client can transfer preexisting knowledge from the ...

Abstract: In-memory computing (IMC) and quantization have emerged as promising techniques for edge-based deep neural network (DNN) accelerators by reducing their energy, latency and storage ...