Parameter Synchronization
Parameter Synchronization is a data parallelism technique that coordinates the concurrent updates of model parameters across distributed computing nodes by aggregating gradients or parameter values to maintain consistency and ensure coherent model convergence during distributed training.
55
Publications
3K
Citations
211
Authors
83
Institutions
Publications per year
2017–2026
40
Parents
55
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui et al. · PubMed · 2013 · 554 citations · Full text
Andong Liu, Wen‐An Zhang, Li Yu et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 2018 · 107 citations
1–5 of 55
211
7
h-index
6
h-index
4
h-index
4
h-index
4
h-index
1–5 of 211
83
Carnegie Mellon University
Pittsburgh, United States
5 h-index
28 publications
6.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
7 publications
284 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
99 citations

Zhejiang University
Hangzhou, China
3 h-index
9 publications
176 citations
Tsinghua University
Beijing, China
3 h-index
16 publications
506 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
9 publications
561 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
6 publications
198 citations
Hangzhou Dianzi University
Hangzhou, China
2 h-index
14 publications
175 citations
1–8 of 83
Repository · 7 publications · 392 citations
7
h-index
Repository · 2 publications · 120 citations
2
h-index
2 publications · 141 citations
2
h-index
TPDS · 2 publications · 103 citations
2
h-index
1 publications · 13 citations
1
h-index
1–5