3 papers
cs.LG2025
Communication Compression for Distributed Learning with Aggregate and Server-Guided Feedback
Tomas Ortega, Chun-Yin Huang, Xiaoxiao Li +1
Distributed learning, particularly Federated Learning (FL), faces a significant bottleneck in the communication cost, particularly the uplink transmission of client-to-server updat…
cs.LG2024
Communication Compression for Distributed Learning without Control Variates
Tomas Ortega, Chun-Yin Huang, Xiaoxiao Li +1
Distributed learning algorithms, such as the ones employed in Federated Learning (FL), require communication compression to reduce the cost of client uploads. The compression metho…
cs.CV2022
Efficient Medical Image Assessment via Self-supervised Learning
Chun-Yin Huang, Qi Lei, Xiaoxiao Li
High-performance deep learning methods typically rely on large annotated training datasets, which are difficult to obtain in many clinical applications due to the high cost of medi…