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ORCIDBibTeX records: Lie He
@article{DBLP:journals/corr/abs-2501-18282,
author = {Yunzhen Yao and
Lie He and
Michael Gastpar},
title = {Leveraging Sparsity for Sample-Efficient Preference Learning: {A}
Theoretical Perspective},
journal = {CoRR},
volume = {abs/2501.18282},
year = {2025},
url = {https://doi.org/10.48550/arXiv.2501.18282},
doi = {10.48550/ARXIV.2501.18282},
eprinttype = {arXiv},
eprint = {2501.18282},
timestamp = {Wed, 26 Feb 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2501-18282.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/HashemiHJ24,
author = {Diba Hashemi and
Lie He and
Martin Jaggi},
editor = {Amir Globersons and
Lester Mackey and
Danielle Belgrave and
Angela Fan and
Ulrich Paquet and
Jakub M. Tomczak and
Cheng Zhang},
title = {CoBo: Collaborative Learning via Bilevel Optimization},
booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference
on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver,
BC, Canada, December 10 - 15, 2024},
year = {2024},
url = {http://papers.nips.cc/paper\_files/paper/2024/hash/1c32452f112719f7c1db6d983d060f78-Abstract-Conference.html},
timestamp = {Thu, 13 Feb 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/HashemiHJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2409-05539,
author = {Diba Hashemi and
Lie He and
Martin Jaggi},
title = {CoBo: Collaborative Learning via Bilevel Optimization},
journal = {CoRR},
volume = {abs/2409.05539},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2409.05539},
doi = {10.48550/ARXIV.2409.05539},
eprinttype = {arXiv},
eprint = {2409.05539},
timestamp = {Wed, 09 Oct 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2409-05539.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tmlr/WernerHJJK23,
author = {Mariel A. Werner and
Lie He and
Michael I. Jordan and
Martin Jaggi and
Sai Praneeth Karimireddy},
title = {Provably Personalized and Robust Federated Learning},
journal = {Trans. Mach. Learn. Res.},
volume = {2023},
year = {2023},
url = {https://openreview.net/forum?id=B0uBSSUy0G},
timestamp = {Thu, 01 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/tmlr/WernerHJJK23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/HeK23,
author = {Lie He and
Shiva Prasad Kasiviswanathan},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Debiasing Conditional Stochastic Optimization},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/f944a7bcfe9e76b34490ebe4e29196d9-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/HeK23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2304-10613,
author = {Lie He and
Shiva Prasad Kasiviswanathan},
title = {Debiasing Conditional Stochastic Optimization},
journal = {CoRR},
volume = {abs/2304.10613},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2304.10613},
doi = {10.48550/ARXIV.2304.10613},
eprinttype = {arXiv},
eprint = {2304.10613},
timestamp = {Tue, 02 May 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2304-10613.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2306-08393,
author = {Mariel A. Werner and
Lie He and
Sai Praneeth Karimireddy and
Michael I. Jordan and
Martin Jaggi},
title = {Provably Personalized and Robust Federated Learning},
journal = {CoRR},
volume = {abs/2306.08393},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2306.08393},
doi = {10.48550/ARXIV.2306.08393},
eprinttype = {arXiv},
eprint = {2306.08393},
timestamp = {Sun, 18 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2306-08393.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/KarimireddyHJ22,
author = {Sai Praneeth Karimireddy and
Lie He and
Martin Jaggi},
title = {Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing},
booktitle = {The Tenth International Conference on Learning Representations, {ICLR}
2022, Virtual Event, April 25-29, 2022},
publisher = {OpenReview.net},
year = {2022},
url = {https://openreview.net/forum?id=jXKKDEi5vJt},
timestamp = {Sat, 20 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/iclr/KarimireddyHJ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-01545,
author = {Lie He and
Sai Praneeth Karimireddy and
Martin Jaggi},
title = {Byzantine-Robust Decentralized Learning via Self-Centered Clipping},
journal = {CoRR},
volume = {abs/2202.01545},
year = {2022},
url = {https://arxiv.org/abs/2202.01545},
eprinttype = {arXiv},
eprint = {2202.01545},
timestamp = {Wed, 09 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-01545.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ftml/KairouzMABBBBCC21,
author = {Peter Kairouz and
H. Brendan McMahan and
Brendan Avent and
Aur{\'{e}}lien Bellet and
Mehdi Bennis and
Arjun Nitin Bhagoji and
Kallista A. Bonawitz and
Zachary Charles and
Graham Cormode and
Rachel Cummings and
Rafael G. L. D'Oliveira and
Hubert Eichner and
Salim El Rouayheb and
David Evans and
Josh Gardner and
Zachary Garrett and
Adri{\`{a}} Gasc{\'{o}}n and
Badih Ghazi and
Phillip B. Gibbons and
Marco Gruteser and
Za{\"{\i}}d Harchaoui and
Chaoyang He and
Lie He and
Zhouyuan Huo and
Ben Hutchinson and
Justin Hsu and
Martin Jaggi and
Tara Javidi and
Gauri Joshi and
Mikhail Khodak and
Jakub Kone{\v{c}}n{\'y} and
Aleksandra Korolova and
Farinaz Koushanfar and
Sanmi Koyejo and
Tancr{\`{e}}de Lepoint and
Yang Liu and
Prateek Mittal and
Mehryar Mohri and
Richard Nock and
Ayfer {\"{O}}zg{\"{u}}r and
Rasmus Pagh and
Hang Qi and
Daniel Ramage and
Ramesh Raskar and
Mariana Raykova and
Dawn Song and
Weikang Song and
Sebastian U. Stich and
Ziteng Sun and
Ananda Theertha Suresh and
Florian Tram{\`{e}}r and
Praneeth Vepakomma and
Jianyu Wang and
Li Xiong and
Zheng Xu and
Qiang Yang and
Felix X. Yu and
Han Yu and
Sen Zhao},
title = {Advances and Open Problems in Federated Learning},
journal = {Found. Trends Mach. Learn.},
volume = {14},
number = {1-2},
pages = {1--210},
year = {2021},
url = {https://doi.org/10.1561/2200000083},
doi = {10.1561/2200000083},
timestamp = {Mon, 03 Mar 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/ftml/KairouzMABBBBCC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KarimireddyHJ21,
author = {Sai Praneeth Karimireddy and
Lie He and
Martin Jaggi},
editor = {Marina Meila and
Tong Zhang},
title = {Learning from History for Byzantine Robust Optimization},
booktitle = {Proceedings of the 38th International Conference on Machine Learning,
{ICML} 2021, 18-24 July 2021, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {5311--5319},
publisher = {{PMLR}},
year = {2021},
url = {http://proceedings.mlr.press/v139/karimireddy21a.html},
timestamp = {Wed, 25 Aug 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/icml/KarimireddyHJ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/VogelsHKKLSJ21,
author = {Thijs Vogels and
Lie He and
Anastasia Koloskova and
Sai Praneeth Karimireddy and
Tao Lin and
Sebastian U. Stich and
Martin Jaggi},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {RelaySum for Decentralized Deep Learning on Heterogeneous Data},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {28004--28015},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/ebbdfea212e3a756a1fded7b35578525-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/VogelsHKKLSJ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2110-04175,
author = {Thijs Vogels and
Lie He and
Anastasia Koloskova and
Tao Lin and
Sai Praneeth Karimireddy and
Sebastian U. Stich and
Martin Jaggi},
title = {RelaySum for Decentralized Deep Learning on Heterogeneous Data},
journal = {CoRR},
volume = {abs/2110.04175},
year = {2021},
url = {https://arxiv.org/abs/2110.04175},
eprinttype = {arXiv},
eprint = {2110.04175},
timestamp = {Thu, 21 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2110-04175.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-04747,
author = {Lie He and
Sai Praneeth Karimireddy and
Martin Jaggi},
title = {Secure Byzantine-Robust Machine Learning},
journal = {CoRR},
volume = {abs/2006.04747},
year = {2020},
url = {https://arxiv.org/abs/2006.04747},
eprinttype = {arXiv},
eprint = {2006.04747},
timestamp = {Fri, 12 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-04747.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2006-09365,
author = {Lie He and
Sai Praneeth Karimireddy and
Martin Jaggi},
title = {Byzantine-Robust Learning on Heterogeneous Datasets via Resampling},
journal = {CoRR},
volume = {abs/2006.09365},
year = {2020},
url = {https://arxiv.org/abs/2006.09365},
eprinttype = {arXiv},
eprint = {2006.09365},
timestamp = {Wed, 17 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2006-09365.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2012-10333,
author = {Sai Praneeth Karimireddy and
Lie He and
Martin Jaggi},
title = {Learning from History for Byzantine Robust Optimization},
journal = {CoRR},
volume = {abs/2012.10333},
year = {2020},
url = {https://arxiv.org/abs/2012.10333},
eprinttype = {arXiv},
eprint = {2012.10333},
timestamp = {Mon, 04 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2012-10333.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-04977,
author = {Peter Kairouz and
H. Brendan McMahan and
Brendan Avent and
Aur{\'{e}}lien Bellet and
Mehdi Bennis and
Arjun Nitin Bhagoji and
Kallista A. Bonawitz and
Zachary Charles and
Graham Cormode and
Rachel Cummings and
Rafael G. L. D'Oliveira and
Salim El Rouayheb and
David Evans and
Josh Gardner and
Zachary Garrett and
Adri{\`{a}} Gasc{\'{o}}n and
Badih Ghazi and
Phillip B. Gibbons and
Marco Gruteser and
Za{\"{\i}}d Harchaoui and
Chaoyang He and
Lie He and
Zhouyuan Huo and
Ben Hutchinson and
Justin Hsu and
Martin Jaggi and
Tara Javidi and
Gauri Joshi and
Mikhail Khodak and
Jakub Kone{\v{c}}n{\'y} and
Aleksandra Korolova and
Farinaz Koushanfar and
Sanmi Koyejo and
Tancr{\`{e}}de Lepoint and
Yang Liu and
Prateek Mittal and
Mehryar Mohri and
Richard Nock and
Ayfer {\"{O}}zg{\"{u}}r and
Rasmus Pagh and
Mariana Raykova and
Hang Qi and
Daniel Ramage and
Ramesh Raskar and
Dawn Song and
Weikang Song and
Sebastian U. Stich and
Ziteng Sun and
Ananda Theertha Suresh and
Florian Tram{\`{e}}r and
Praneeth Vepakomma and
Jianyu Wang and
Li Xiong and
Zheng Xu and
Qiang Yang and
Felix X. Yu and
Han Yu and
Sen Zhao},
title = {Advances and Open Problems in Federated Learning},
journal = {CoRR},
volume = {abs/1912.04977},
year = {2019},
url = {http://arxiv.org/abs/1912.04977},
eprinttype = {arXiv},
eprint = {1912.04977},
timestamp = {Mon, 02 Sep 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1912-04977.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/HeBJ18,
author = {Lie He and
An Bian and
Martin Jaggi},
editor = {Samy Bengio and
Hanna M. Wallach and
Hugo Larochelle and
Kristen Grauman and
Nicol{\`{o}} Cesa{-}Bianchi and
Roman Garnett},
title = {{COLA:} Decentralized Linear Learning},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
on Neural Information Processing Systems 2018, NeurIPS 2018, December
3-8, 2018, Montr{\'{e}}al, Canada},
pages = {4541--4551},
year = {2018},
url = {https://proceedings.neurips.cc/paper/2018/hash/05a70454516ecd9194c293b0e415777f-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/HeBJ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1808-04883,
author = {Lie He and
An Bian and
Martin Jaggi},
title = {{COLA:} Communication-Efficient Decentralized Linear Learning},
journal = {CoRR},
volume = {abs/1808.04883},
year = {2018},
url = {http://arxiv.org/abs/1808.04883},
eprinttype = {arXiv},
eprint = {1808.04883},
timestamp = {Sun, 02 Sep 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1808-04883.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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