Scholar

Shiqi HE

Google Scholar ID: 9eYlWYAAAAAJ

University of Michigan

Machine Learning SystemsMultimodal

Citations & Impact

All-time

Citations

193

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

14 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Paper 'FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching' accepted to INFOCOM 2025
Paper 'Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning' accepted to USENIX Security 2024
Paper 'Anchor Sampling for Federated Learning with Partial Client Participation' (FedAMD) accepted to ICML 2023
Paper 'GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning' accepted to MLSys 2023
Participated in NeurIPS 2022 competition NL4Opt: Formulating Optimization Problems Based on Their Natural Language Descriptions
Paper 'Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions' published at EMNLP 2022
Paper 'Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression' published at DAC 2022
Paper 'On the Convergence of Quantized Parallel Restarted SGD for Serverless Learning' posted on arXiv (arXiv:2004.09125)

Co-authors

8 total