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Shiqi HE
Shiqi HE
University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Augmenting operations research with auto-formulation of optimization models from problem descriptions
R Ramamonjison, H Li, TT Yu, S He, V Rengan, A Banitalebi-Dehkordi, ...
arXiv preprint arXiv:2209.15565, 2022
19*2022
NL4Opt competition: Formulating optimization problems based on their natural language descriptions
R Ramamonjison, T Yu, R Li, H Li, G Carenini, B Ghaddar, S He, ...
NeurIPS 2022 Competition Track, 189-203, 2023
82023
On the convergence of quantized parallel restarted SGD for serverless learning
F Wu, S He, Y Yang, H Wang, Z Qu, S Guo
arXiv preprint arXiv:2004.09125 130, 2020
7*2020
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression
F Wu, S He, S Guo, Z Qu, H Wang, W Zhuang, J Zhang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 193-198, 2022
52022
Gluefl: Reconciling client sampling and model masking for bandwidth efficient federated learning
S He, Q Yan, F Wu, L Wang, M Lécuyer, I Beschastnikh
Proceedings of Machine Learning and Systems 5, 2023
32023
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Z Jiang, P Ye, S He, W Wang, R Chen, B Li
arXiv preprint arXiv:2401.02880, 2024
2024
Anchor sampling for federated learning with partial client participation
F Wu, S Guo, Z Qu, S He, Z Liu, J Gao
International Conference on Machine Learning, 37379-37416, 2023
2023
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