He, Lie

10 publications

ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective Yunzhen Yao, Lie He, Michael Gastpar

NeurIPS 2024 CoBo: Collaborative Learning via Bilevel Optimization Diba Hashemi, Lie He, Martin Jaggi

NeurIPS 2023 Debiasing Conditional Stochastic Optimization Lie He, Shiva P. Kasiviswanathan

TMLR 2023 Provably Personalized and Robust Federated Learning Mariel Werner, Lie He, Michael Jordan, Martin Jaggi, Sai Praneeth Karimireddy

ICLR 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing Sai Praneeth Karimireddy, Lie He, Martin Jaggi

NeurIPSW 2022 Towards Provably Personalized Federated Learning via Threshold-Clustering of Similar Clients Mariel Werner, Lie He, Sai Praneeth Karimireddy, Michael Jordan, Martin Jaggi

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

ICML 2021 Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy, Lie He, Martin Jaggi

NeurIPS 2021 RelaySum for Decentralized Deep Learning on Heterogeneous Data Thijs Vogels, Lie He, Anastasiia Koloskova, Sai Praneeth Karimireddy, Tao Lin, Sebastian U Stich, Martin Jaggi

NeurIPS 2018 COLA: Decentralized Linear Learning Lie He, An Bian, Martin Jaggi