Chaoyang He

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Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCGeverifieerd e-mailadres voor usc.edu
Murali AnnavaramUSCGeverifieerd e-mailadres voor usc.edu
Jinhyun SoAssistant Professor at DGISTGeverifieerd e-mailadres voor dgist.ac.kr
Mi ZhangAssociate Professor, Director of AIoT and MLSys Lab, The Ohio State UniversityGeverifieerd e-mailadres voor osu.edu
Mahdi SoltanolkotabiUniversity of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
Songze LiProfessor, Southeast UniversityGeverifieerd e-mailadres voor seu.edu.cn
Emir CeyaniUniversity of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
Tong ZhangUIUCGeverifieerd e-mailadres voor tongzhang-ml.org
Bill Yuchen LinAffiliate Assistant Professor, University of WashingtonGeverifieerd e-mailadres voor uw.edu
Praneeth VepakommaMassachusetts Institute of Technology, MBZUAIGeverifieerd e-mailadres voor mit.edu
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairGeverifieerd e-mailadres voor cse.ust.hk
Hongyi WangIncoming Assistant Professor, Rutgers UniversityGeverifieerd e-mailadres voor andrew.cmu.edu
Shen LI (李珅)Facebook AI ResearchGeverifieerd e-mailadres voor fb.com
Qian Yu (于乾)Princeton UniversityGeverifieerd e-mailadres voor princeton.edu
Peter KairouzResearch Scientist, GoogleGeverifieerd e-mailadres voor google.com
H. Brendan McMahanResearch Scientist, Google SeattleGeverifieerd e-mailadres voor google.com
Tian LiUniversity of ChicagoGeverifieerd e-mailadres voor uchicago.edu
Zheng XuGoogle ResearchGeverifieerd e-mailadres voor google.com
Jianyu WangResearch Scientist at AppleGeverifieerd e-mailadres voor apple.com

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Chaoyang He

Co-founder, TensorOpera AI and FedML; PhD in CS from University of Southern California

Geverifieerd e-mailadres voor usc.edu - Homepage

Machine Learning Generative AI Distributed Systems Blockchain AI Security and Privacy


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021	6533	2021
FedML: A Research Library and Benchmark for Federated Machine Learning C He, S Li, J So, M Zhang, H Wang, X Wang, V Praneeth, S Abhishek, ... NeurIPS 2020 FL Workshop Best Paper Award, 2019	648*	2019
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge C He, M Annavaram, S Avestimehr NeurIPS 2020 (Advances in Neural InformationProcessing Systems 2020), 2020	480	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	381	2021
Federated learning for the internet of things: Applications, challenges, and opportunities T Zhang, L Gao, C He, M Zhang, B Krishnamachari, AS Avestimehr IEEE Internet of Things Magazine 5 (1), 24-29, 2022	286	2022
FedGraphNN: A Federated Learning Benchmark System for Graph Neural Networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML) and …, 2021	221*	2021
FairFed: Enabling Group Fairness in Federated Learning Y Ezzeldin, Y Shen, C He, E Ferrara, S Avestimehr AAAI 2023, 2023	189	2023
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning J So, C He, CS Yang, S Li, Y Qian, S Avestimehr MLSys 2022 - Fifth Conference on Machine Learning and Systems, 2022	187*	2022
FedNLP: A Research Platform for Federated Learning in Natural Language Processing BY Lin, C He, Z Zeng, H Wang, Y Huang, M Soltanolkotabi, X Ren, ... Accepted to NAACL 2022, 2022	171*	2022
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation C He, H Ye, L Shen, T Zhang CVPR 2020 (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020), 2020	156	2020
Towards Non-IID and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search C He, M Annavaram, S Avestimehr CVPR 2020 Workshop on Neural Architecture Search and Beyond for …, 2020	146*	2020
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ... NeurIPS 2022, 2022	113	2022
Federated learning for internet of things T Zhang, C He, T Ma, L Gao, M Ma, S Avestimehr Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021	99	2021
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data C He, E Ceyani, K Balasubramanian, M Annavaram, S Avestimehr AAAI 2022 - Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022	95*	2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... NeurIPS 2021 (Advances in Neural InformationProcessing Systems 2021), 2021	93	2021
Central Server Free Federated Learning over Single-sided Trust Social Networks C He, C Tan, H Tang, Q Shuang, J Liu NeurIPS 2020 (Advances in Neural InformationProcessing Systems 2020), 2020	90	2020
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks C He, AD Shah, Z Tang, DFAN Sivashunmugam, K Bhogaraju, M Shimpi, ... AAAI 2022 - International Workshop on Trustable, Verifiable and Auditable …, 2021	78	2021
AutoCTS: Automated Correlated Time Series Forecasting X Wu, D Zhang, C Guo, C He, B Yang, CS Jensen VLDB 2022 - 48th International Conference on Very Large Data Bases, 2021	70	2021
Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019	66	2019
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models C He, S Li, M Soltanolkotabi, S Avestimehr ICML 2021 (International Conference on Machine Learning 2021), 4150-4159, 2021	62*	2021

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