Abstract: Federated Learning (FL) is a promising distributed machine learning framework that allows clients to collaboratively train a global model without data leakage. The synchronous FL suffers ...
Abstract: Spiking Neural Network (SNN) processors have garnered increasing attention because of their high energy efficiency. Besides, on-chip learning ability allows them to adapt to various ...