44 citations · 46 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 44 cited
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan +5
Federated Learning (FL) has gained increasing interest in recent years as a distributed on-device learning paradigm. However, multiple challenges remain to be addressed for deployi…
cs.DC2016★ 2 cited
dMath: Distributed Linear Algebra for DL
Steven Eliuk, Cameron Upright, Hars Vardhan +2
The paper presents a parallel math library, dMath, that demonstrates leading scaling when using intranode, internode, and hybrid-parallelism for deep learning (DL). dMath provides…