Shiqi He

According to our database, Shiqi He authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning.

Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li

CoRR, 2024

2023

Anchor Sampling for Federated Learning with Partial Client Participation.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao

Proceedings of the International Conference on Machine Learning, 2023

2022

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.

Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh

CoRR, 2022

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu

CoRR, 2022

Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.

Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.

Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the NeurIPS 2022 Competition Track, 2021