2024
An efficient bandwidth-adaptive gradient compression algorithm for distributed training of deep neural networks.
J. Syst. Archit., 2024

2023
Communication compression techniques in distributed deep learning: A survey.
J. Syst. Archit., September, 2023

Accelerating Distributed DNN Training via Transport Layer Scheduling.
IEEE Trans. Parallel Distributed Syst., May, 2023

2022
Mercury: A Simple Transport Layer Scheduler to Accelerate Distributed DNN Training.
Proceedings of the IEEE INFOCOM 2022, 2022