IEEE

Segment-Attention Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-Identification

Abstract: In the unsupervised visible-infrared person re-identification (USL-VI-ReID) task, cross-modal retrieval of person images faces many challenges. This is not only due to the inherent modal ...
IEEE

RLFL: A Reinforcement Learning Aggregation Approach for Hybrid Federated Learning Systems Using Full and Ternary Precision

Abstract: Federated Learning (FL) has emerged as an approach to provide a privacy-preserving and communication-efficient Machine Learning (ML) framework in mobile-edge environments which are likely to ...