Abstract: Federated Learning (FL) is an emerging distributed machine learning approach. It enables a server to aggregate model parameters from local users iteratively without requiring access to ...

Abstract: Contemporary multi-modal trackers achieve strong performance by leveraging complex backbones and fusion strategies, but this comes at the cost of computational efficiency, limiting their ...