Welcome to my homepage!
I’m a first-year PhD student in Computer Science and Engineering at University of Michigan, Ann Arbor, advised by Prof. Mosharaf Chowdhury. My current research interests involve Multimodal Model Training, Large Model Systems and Distributed Machine Learning.
Before UMich, I completed my MSc in Computer Science at University of British Columbia, working with Prof. Ivan Beschastnikh and Prof. Mathias Lécuyer. I obtained my Bachelor’s in Computing at Hong Kong Polytechnic University, under the supervision of Prof. Song Guo.
News
- 2023-09 - Starting my PhD at UMich!
- 2023-06 - Working as a research assistant at HKUST, under the supervision of Prof. Wei Wang.
- 2023-02 - GlueFL has been accepted to MLSys 2023.
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2022-07 - Join our competition at NeurIPS 2022!
NL4Opt: Formulating Optimization Problems Based on Their Natural Language Descriptions
Publications & Pre-prints
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Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
USENIX Security Symposium 2024 [.pdf] -
Anchor Sampling for Federated Learning with Partial Client Participation
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
International Conference on Machine Learning (ICML 2023) [.pdf] -
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
Conference on Machine Learning and Systems (MLSys 2023) [.pdf] -
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Rindranirina Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Empirical Methods in Natural Language Processing (EMNLP 2022) [.pdf] -
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
Feijie Wu*, Shiqi He*, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Design Automation Conference (DAC 2022) [.pdf] -
On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning
Feijie Wu, Shiqi He, Yutong Yang, Haozhao Wang, Zhihao Qu, Song Guo
arXiv, preprint arXiv:2004.09125. [.pdf]