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Sang Bin Moon — most-cited papers & profile · Federated Learning
← authors
·
overview
Sang Bin Moon
2
papers ·
0
citations ·
0
h-index
Purdue University West Lafayette
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
2026
FedSGM: A Unified Framework for Constraint Aware, Bidirectionally Compressed, Multi-Step Federated Optimization
2026
Top co-authors
Antesh Upadhyay
· 2
Abolfazl Hashemi
· 1
and Abolfazl Hashemi
· 1
Zhankun Luo
· 1
Topics
Optimization
Federated Learning
Communication