Search dblp for Publications

export results for "author:Haibo_Yang_0001:"

 download as .bib file

@article{DBLP:journals/corr/abs-2405-02745,
  author       = {Haibo Yang and
                  Peiwen Qiu and
                  Prashant Khanduri and
                  Minghong Fang and
                  Jia Liu},
  title        = {Understanding Server-Assisted Federated Learning in the Presence of
                  Incomplete Client Participation},
  journal      = {CoRR},
  volume       = {abs/2405.02745},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2405.02745},
  doi          = {10.48550/ARXIV.2405.02745},
  eprinttype    = {arXiv},
  eprint       = {2405.02745},
  timestamp    = {Wed, 10 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2405-02745.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2405-03082,
  author       = {Tianchen Zhou and
                  Hairi and
                  Haibo Yang and
                  Jia Liu and
                  Tian Tong and
                  Fan Yang and
                  Michinari Momma and
                  Yan Gao},
  title        = {Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective
                  Reinforcement Learning},
  journal      = {CoRR},
  volume       = {abs/2405.03082},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2405.03082},
  doi          = {10.48550/ARXIV.2405.03082},
  eprinttype    = {arXiv},
  eprint       = {2405.03082},
  timestamp    = {Mon, 29 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2405-03082.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/0001LLDM23,
  author       = {Haibo Yang and
                  Zhuqing Liu and
                  Jia Liu and
                  Chaosheng Dong and
                  Michinari Momma},
  editor       = {Alice Oh and
                  Tristan Naumann and
                  Amir Globerson and
                  Kate Saenko and
                  Moritz Hardt and
                  Sergey Levine},
  title        = {Federated Multi-Objective Learning},
  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/7cb2c2a8d35576c00078b6591ec26a7d-Abstract-Conference.html},
  timestamp    = {Tue, 16 Jul 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/0001LLDM23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-09866,
  author       = {Haibo Yang and
                  Zhuqing Liu and
                  Jia Liu and
                  Chaosheng Dong and
                  Michinari Momma},
  title        = {Federated Multi-Objective Learning},
  journal      = {CoRR},
  volume       = {abs/2310.09866},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2310.09866},
  doi          = {10.48550/ARXIV.2310.09866},
  eprinttype    = {arXiv},
  eprint       = {2310.09866},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2310-09866.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/KhanduriYHLW022,
  author       = {Prashant Khanduri and
                  Haibo Yang and
                  Mingyi Hong and
                  Jia Liu and
                  Hoi{-}To Wai and
                  Sijia Liu},
  title        = {Decentralized Learning for Overparameterized Problems: {A} Multi-Agent
                  Kernel Approximation Approach},
  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=oj2yn1Q4Ett},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iclr/KhanduriYHLW022.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/YangZK022,
  author       = {Haibo Yang and
                  Xin Zhang and
                  Prashant Khanduri and
                  Jia Liu},
  editor       = {Kamalika Chaudhuri and
                  Stefanie Jegelka and
                  Le Song and
                  Csaba Szepesv{\'{a}}ri and
                  Gang Niu and
                  Sivan Sabato},
  title        = {Anarchic Federated Learning},
  booktitle    = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
                  2022, Baltimore, Maryland, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {162},
  pages        = {25331--25363},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v162/yang22r.html},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/icml/YangZK022.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/isit/YangQLY22,
  author       = {Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu and
                  Aylin Yener},
  title        = {Over-the-Air Federated Learning with Joint Adaptive Computation and
                  Power Control},
  booktitle    = {{IEEE} International Symposium on Information Theory, {ISIT} 2022,
                  Espoo, Finland, June 26 - July 1, 2022},
  pages        = {1259--1264},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/ISIT50566.2022.9834342},
  doi          = {10.1109/ISIT50566.2022.9834342},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/isit/YangQLY22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mobihoc/ZhangFLYLZ22,
  author       = {Xin Zhang and
                  Minghong Fang and
                  Zhuqing Liu and
                  Haibo Yang and
                  Jia Liu and
                  Zhengyuan Zhu},
  title        = {{NET-FLEET:} achieving linear convergence speedup for fully decentralized
                  federated learning with heterogeneous data},
  booktitle    = {MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic
                  Foundations, and Protocol Design for Mobile Networks and Mobile Computing,
                  Seoul, Republic of Korea, October 17 - 20, 2022},
  pages        = {71--80},
  publisher    = {{ACM}},
  year         = {2022},
  url          = {https://doi.org/10.1145/3492866.3549723},
  doi          = {10.1145/3492866.3549723},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/mobihoc/ZhangFLYLZ22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/YangL0022,
  author       = {Haibo Yang and
                  Zhuqing Liu and
                  Xin Zhang and
                  Jia Liu},
  editor       = {Sanmi Koyejo and
                  S. Mohamed and
                  A. Agarwal and
                  Danielle Belgrave and
                  K. Cho and
                  A. Oh},
  title        = {{SAGDA:} Achieving {\textdollar}{\textbackslash}mathcal\{O\}({\textbackslash}epsilon\{-2\}){\textdollar}
                  Communication Complexity in Federated Min-Max Learning},
  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference
                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
                  LA, USA, November 28 - December 9, 2022},
  year         = {2022},
  url          = {http://papers.nips.cc/paper\_files/paper/2022/hash/2f13806d6580db60d9d7d6f89ba529ca-Abstract-Conference.html},
  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/YangL0022.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/YangQ022,
  author       = {Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu},
  editor       = {Sanmi Koyejo and
                  S. Mohamed and
                  A. Agarwal and
                  Danielle Belgrave and
                  K. Cho and
                  A. Oh},
  title        = {Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance)
                  Noise in Federated Learning},
  booktitle    = {Advances in Neural Information Processing Systems 35: Annual Conference
                  on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
                  LA, USA, November 28 - December 9, 2022},
  year         = {2022},
  url          = {http://papers.nips.cc/paper\_files/paper/2022/hash/6cb7246003d556c4d1cbf9c17c392ee3-Abstract-Conference.html},
  timestamp    = {Mon, 08 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/YangQ022.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/spawc/MaoYQLY22,
  author       = {Jiayu Mao and
                  Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu and
                  Aylin Yener},
  title        = {{CHARLES:} Channel-Quality-Adaptive Over-the-Air Federated Learning
                  over Wireless Networks},
  booktitle    = {23rd {IEEE} International Workshop on Signal Processing Advances in
                  Wireless Communication, {SPAWC} 2022, Oulu, Finland, July 4-6, 2022},
  pages        = {1--5},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/SPAWC51304.2022.9833989},
  doi          = {10.1109/SPAWC51304.2022.9833989},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/spawc/MaoYQLY22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-05867,
  author       = {Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu and
                  Aylin Yener},
  title        = {Over-the-Air Federated Learning with Joint Adaptive Computation and
                  Power Control},
  journal      = {CoRR},
  volume       = {abs/2205.05867},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2205.05867},
  doi          = {10.48550/ARXIV.2205.05867},
  eprinttype    = {arXiv},
  eprint       = {2205.05867},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2205-05867.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-09330,
  author       = {Jiayu Mao and
                  Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu and
                  Aylin Yener},
  title        = {{CHARLES:} Channel-Quality-Adaptive Over-the-Air Federated Learning
                  over Wireless Networks},
  journal      = {CoRR},
  volume       = {abs/2205.09330},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2205.09330},
  doi          = {10.48550/ARXIV.2205.09330},
  eprinttype    = {arXiv},
  eprint       = {2205.09330},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2205-09330.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2208-08490,
  author       = {Xin Zhang and
                  Minghong Fang and
                  Zhuqing Liu and
                  Haibo Yang and
                  Jia Liu and
                  Zhengyuan Zhu},
  title        = {{NET-FLEET:} Achieving Linear Convergence Speedup for Fully Decentralized
                  Federated Learning with Heterogeneous Data},
  journal      = {CoRR},
  volume       = {abs/2208.08490},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2208.08490},
  doi          = {10.48550/ARXIV.2208.08490},
  eprinttype    = {arXiv},
  eprint       = {2208.08490},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2208-08490.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-00611,
  author       = {Haibo Yang and
                  Zhuqing Liu and
                  Xin Zhang and
                  Jia Liu},
  title        = {{SAGDA:} Achieving O({\(\epsilon\)}\({}^{\mbox{-2}}\)) Communication
                  Complexity in Federated Min-Max Learning},
  journal      = {CoRR},
  volume       = {abs/2210.00611},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2210.00611},
  doi          = {10.48550/ARXIV.2210.00611},
  eprinttype    = {arXiv},
  eprint       = {2210.00611},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-00611.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-00690,
  author       = {Haibo Yang and
                  Peiwen Qiu and
                  Jia Liu},
  title        = {Taming Fat-Tailed ("Heavier-Tailed" with Potentially Infinite Variance)
                  Noise in Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2210.00690},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2210.00690},
  doi          = {10.48550/ARXIV.2210.00690},
  eprinttype    = {arXiv},
  eprint       = {2210.00690},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-00690.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/YangFL21,
  author       = {Haibo Yang and
                  Minghong Fang and
                  Jia Liu},
  title        = {Achieving Linear Speedup with Partial Worker Participation in Non-IID
                  Federated Learning},
  booktitle    = {9th International Conference on Learning Representations, {ICLR} 2021,
                  Virtual Event, Austria, May 3-7, 2021},
  publisher    = {OpenReview.net},
  year         = {2021},
  url          = {https://openreview.net/forum?id=jDdzh5ul-d},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iclr/YangFL21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/KhanduriSYHLRV21,
  author       = {Prashant Khanduri and
                  Pranay Sharma and
                  Haibo Yang and
                  Mingyi Hong and
                  Jia Liu and
                  Ketan Rajawat and
                  Pramod K. Varshney},
  editor       = {Marc'Aurelio Ranzato and
                  Alina Beygelzimer and
                  Yann N. Dauphin and
                  Percy Liang and
                  Jennifer Wortman Vaughan},
  title        = {{STEM:} {A} Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal
                  Sample and Communication Complexities for Federated Learning},
  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference
                  on Neural Information Processing Systems 2021, NeurIPS 2021, December
                  6-14, 2021, virtual},
  pages        = {6050--6061},
  year         = {2021},
  url          = {https://proceedings.neurips.cc/paper/2021/hash/3016a447172f3045b65f5fc83e04b554-Abstract.html},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/KhanduriSYHLRV21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/wiopt/YangLB21,
  author       = {Haibo Yang and
                  Jia Liu and
                  Elizabeth S. Bentley},
  editor       = {Javad Ghaderi and
                  Elif Uysal and
                  Guoliang Xue},
  title        = {CFedAvg: Achieving Efficient Communication and Fast Convergence in
                  Non-IID Federated Learning},
  booktitle    = {19th International Symposium on Modeling and Optimization in Mobile,
                  Ad hoc, and Wireless Networks, WiOpt 2021, Virtual Conference, October
                  18-21, 2021},
  pages        = {113--120},
  publisher    = {{IFIP}},
  year         = {2021},
  url          = {https://dl.ifip.org/db/conf/wiopt/wiopt2021/WiOpt\_2021\_paper\_23.pdf},
  doi          = {10.23919/WIOPT52861.2021.9589061},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/wiopt/YangLB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2101-11203,
  author       = {Haibo Yang and
                  Minghong Fang and
                  Jia Liu},
  title        = {Achieving Linear Speedup with Partial Worker Participation in Non-IID
                  Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2101.11203},
  year         = {2021},
  url          = {https://arxiv.org/abs/2101.11203},
  eprinttype    = {arXiv},
  eprint       = {2101.11203},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2101-11203.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-07155,
  author       = {Haibo Yang and
                  Jia Liu and
                  Elizabeth S. Bentley},
  title        = {CFedAvg: Achieving Efficient Communication and Fast Convergence in
                  Non-IID Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2106.07155},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.07155},
  eprinttype    = {arXiv},
  eprint       = {2106.07155},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-07155.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-10435,
  author       = {Prashant Khanduri and
                  Pranay Sharma and
                  Haibo Yang and
                  Mingyi Hong and
                  Jia Liu and
                  Ketan Rajawat and
                  Pramod K. Varshney},
  title        = {{STEM:} {A} Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal
                  Sample and Communication Complexities for Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2106.10435},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.10435},
  eprinttype    = {arXiv},
  eprint       = {2106.10435},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-10435.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-09875,
  author       = {Haibo Yang and
                  Xin Zhang and
                  Prashant Khanduri and
                  Jia Liu},
  title        = {Anarchic Federated Learning},
  journal      = {CoRR},
  volume       = {abs/2108.09875},
  year         = {2021},
  url          = {https://arxiv.org/abs/2108.09875},
  eprinttype    = {arXiv},
  eprint       = {2108.09875},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2108-09875.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/spawc/YangZF020,
  author       = {Haibo Yang and
                  Xin Zhang and
                  Minghong Fang and
                  Jia Liu},
  title        = {Adaptive Multi-Hierarchical signSGD for Communication-Efficient Distributed
                  Optimization},
  booktitle    = {21st {IEEE} International Workshop on Signal Processing Advances in
                  Wireless Communications, {SPAWC} 2020, Atlanta, GA, USA, May 26-29,
                  2020},
  pages        = {1--5},
  publisher    = {{IEEE}},
  year         = {2020},
  url          = {https://doi.org/10.1109/SPAWC48557.2020.9154256},
  doi          = {10.1109/SPAWC48557.2020.9154256},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/spawc/YangZF020.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cdc/YangZFL19,
  author       = {Haibo Yang and
                  Xin Zhang and
                  Minghong Fang and
                  Jia Liu},
  title        = {Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning:
                  {A} Lipschitz-Inspired Coordinate-wise Median Approach},
  booktitle    = {58th {IEEE} Conference on Decision and Control, {CDC} 2019, Nice,
                  France, December 11-13, 2019},
  pages        = {5832--5837},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/CDC40024.2019.9029245},
  doi          = {10.1109/CDC40024.2019.9029245},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/YangZFL19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1909-04532,
  author       = {Haibo Yang and
                  Xin Zhang and
                  Minghong Fang and
                  Jia Liu},
  title        = {Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning:
                  {A} Lipschitz-Inspired Coordinate-wise Median Approach},
  journal      = {CoRR},
  volume       = {abs/1909.04532},
  year         = {2019},
  url          = {http://arxiv.org/abs/1909.04532},
  eprinttype    = {arXiv},
  eprint       = {1909.04532},
  timestamp    = {Thu, 07 Dec 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1909-04532.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics