IEEE

Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments

Abstract: This study introduces an Adaptive Federated Learning (AFL) framework designed to address the challenges of data heterogeneity, resource imbalance, and communication constraints in ...
IEEE

Discrepancy-Controlled Region-Adaptive Learning: Handling Intra-Domain Bias for Crowd Counting

Abstract: Crowd counting in congested scenarios remains challenging, when required to handle “intra-domain bias”—the significant variation in crowd density across regions within each image. In this ...