4 citations · 4 across the 5 of their papers we have counts for
5 papers
DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training
Zechen Ma, Zixi Qu, Jinyan Yi +2
Distributed machine learning (ML) training has become a necessity with the prevalence of billion to trillion-parameter-scale models. While prior work has improved training efficien…
A Simple Non-Deterministic Approach Can Adapt to Complex Unpredictable 5G Cellular Networks
Parsa Pazhooheshy, Soheil Abbasloo, Yashar Ganjali
5G cellular networks are envisioned to support a wide range of emerging delay-oriented services with different delay requirements (e.g., 20ms for VR/AR, 40ms for cloud gaming, and…
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
Shiva Ketabi, Hongkai Chen, Haiwei Dong +1
Various congestion control protocols have been designed to achieve high performance in different network environments. Modern online learning solutions that delegate the congestion…
DWTCP: Ultra Low Latency Congestion Control Protocol for Data Centers
Sepehr Abbasi, Shiva Ketabi, Ali Munir +2
Congestion control algorithms rely on a variety of congestion signals (packet loss, Explicit Congestion Notification, delay, etc.) to achieve fast convergence, high utilization, an…
Uniquely 2-List Colorable Graphs
Y. G. Ganjali, M. Ghebleh, H. Hajiabolhassan +2
A graph is called to be uniquely list colorable, if it admits a list assignment which induces a unique list coloring. We study uniquely list colorable graphs with a restriction on…