| 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 | 6633 | 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 | 657* | 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 | 491 | 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 | 383 | 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 | 297 | 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 | 227* | 2021 |
| FairFed: Enabling Group Fairness in Federated Learning Y Ezzeldin, Y Shen, C He, E Ferrara, S Avestimehr AAAI 2023, 2023 | 190 | 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 | 188* | 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 | 176* | 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 | 157 | 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 | 116 | 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 | 101 | 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 | 99* | 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 | 94 | 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 | 92 | 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 | 72 | 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 | 68 | 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 | 63* | 2021 |
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCVerified email at usc.edu
