Hongyi Wang

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Dimitris PapailiopoulosResearcher at Microsoft Research & Assoc. Professor at University of WisconsinEmail yang diverifikasi di papail.io
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail yang diverifikasi di cs.cmu.edu
Chaoyang HeCo-founder, TensorOpera AI and FedML; PhD in CS from University of Southern CaliforniaEmail yang diverifikasi di usc.edu
Zachary CharlesResearch Scientist, GoogleEmail yang diverifikasi di google.com
Yuekai SunUniversity of MichiganEmail yang diverifikasi di umich.edu
Mikhail YurochkinResearch Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI LabEmail yang diverifikasi di umich.edu
Kangwook LeeUniversity of Wisconsin-MadisonEmail yang diverifikasi di wisc.edu
Lingjiao ChenStanford UniversityEmail yang diverifikasi di stanford.edu
Shashank RajputResearch Scientist, MosaicML (Databricks)Email yang diverifikasi di databricks.com
Yasaman KhazaeniCapitalOne, Wayfair, IBM, Boston UniversityEmail yang diverifikasi di bu.edu
Jy-yong SohnYonsei UniversityEmail yang diverifikasi di yonsei.ac.kr
Kartik SreenivasanGraduate Student, University of Wisconsin-MadisonEmail yang diverifikasi di wisc.edu
Tianhua TaoPaul G. Allen School of Computer Science & Engineering, University of WashingtonEmail yang diverifikasi di cs.washington.edu
Shivaram VenkataramanUniversity of Wisconsin-MadisonEmail yang diverifikasi di cs.wisc.edu
Harit VishwakarmaCS PhD Candidate, University of Wisconsin MadisonEmail yang diverifikasi di cs.wisc.edu
Songze LiProfessor, Southeast UniversityEmail yang diverifikasi di seu.edu.cn
Dacheng LiUC BerkeleyEmail yang diverifikasi di berkeley.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinEmail yang diverifikasi di cs.wisc.edu
Shengchao LiuUC BerkeleyEmail yang diverifikasi di berkeley.edu
Hao ZhangUC San DiegoEmail yang diverifikasi di ucsd.edu

Ikuti

Hongyi Wang

GenBio AI; Incoming Assistant Professor, Rutgers University

Email yang diverifikasi di genbio.ai - Beranda

ML Systems


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Federated Learning with Matched Averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni ICLR 2020 - International Conference on Learning Representations, 2020	1413	2020
Attack of the tails: Yes, you really can backdoor federated learning H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ... Advances in neural information processing systems 33, 16070-16084, 2020	728	2020
Fedml: A research library and benchmark for federated machine learning C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ... arXiv preprint arXiv:2007.13518, 2020	645*	2020
A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021	427	2021
Atomo: Communication-efficient learning via atomic sparsification H Wang, S Sievert, S Liu, Z Charles, D Papailiopoulos, S Wright Advances in neural information processing systems 31, 2018	421	2018
Position: TrustLLM: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024	342*	2024
Draco: Byzantine-resilient distributed training via redundant gradients L Chen, H Wang, Z Charles, D Papailiopoulos International Conference on Machine Learning, 903-912, 2018	310*	2018
DETOX: A redundancy-based framework for faster and more robust gradient aggregation S Rajput, H Wang, Z Charles, D Papailiopoulos Advances in neural information processing systems 32, 2019	144	2019
Mpcformer: fast, performant and private transformer inference with mpc D Li, R Shao, H Wang, H Guo, EP Xing, H Zhang arXiv preprint arXiv:2211.01452, 2022	82	2022
Llm360: Towards fully transparent open-source llms Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ... arXiv preprint arXiv:2312.06550, 2023	67	2023
Pufferfish: Communication-efficient models at no extra cost H Wang, S Agarwal, D Papailiopoulos Proceedings of Machine Learning and Systems 3, 365-386, 2021	65	2021
Erasurehead: Distributed gradient descent without delays using approximate gradient coding H Wang, Z Charles, D Papailiopoulos arXiv preprint arXiv:1901.09671, 2019	65	2019
On the utility of gradient compression in distributed training systems S Agarwal, H Wang, S Venkataraman, D Papailiopoulos Proceedings of Machine Learning and Systems 4, 652-672, 2022	57	2022
Adaptive gradient communication via critical learning regime identification S Agarwal, H Wang, K Lee, S Venkataraman, D Papailiopoulos Proceedings of Machine Learning and Systems 3, 55-80, 2021	47*	2021
Rare Gems: Finding Lottery Tickets at Initialization K Sreenivasan, J Sohn, L Yang, M Grinde, A Nagle, H Wang, K Lee, ... NeurIPS 2022, 2022	45	2022
Slimpajama-dc: Understanding data combinations for llm training Z Shen, T Tao, L Ma, W Neiswanger, Z Liu, H Wang, B Tan, J Hestness, ... arXiv preprint arXiv:2309.10818, 2023	44	2023
Efficient federated learning on knowledge graphs via privacy-preserving relation embedding aggregation K Zhang, Y Wang, H Wang, L Huang, C Yang, X Chen, L Sun arXiv preprint arXiv:2203.09553, 2022	41	2022
Fusing models with complementary expertise H Wang, FM Polo, Y Sun, S Kundu, E Xing, M Yurochkin arXiv preprint arXiv:2310.01542, 2023	38	2023
The effect of network width on the performance of large-batch training L Chen, H Wang, J Zhao, D Papailiopoulos, P Koutris Advances in neural information processing systems 31, 2018	24	2018
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness D Li, H Wang, E Xing, H Zhang NeurIPS 2022, 2022	21	2022

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