IEEE

Harmonizing Global and Local Class Imbalance for Federated Learning

Abstract: Federated Learning (FL) is to collaboratively train a global model among distributed clients by iteratively aggregating their local updates without sharing their raw data, whereby the global ...
IEEE

Spiking Reinforcement Learning Enhanced by Bioinspired Event Source of Multi-Dendrite Spiking Neuron and Dynamic Thresholds

Abstract: Deep reinforcement learning (DRL) achieves success through the representational capabilities of deep neural networks (DNNs). Compared to DNNs, spiking neural networks (SNNs), known for their ...