3 papers
cs.LG2026
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…
cs.NI2023
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…
cs.NI2023
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…