| 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, ... NeurIPS 2020 Workshop on Scalability, Privacy, and Security in Federated …, 2020 | 436* | 2020 |
| Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning J So, B Güler, AS Avestimehr IEEE Journal on Selected Areas in Information Theory 2 (1), 479-489, 2021 | 216 | 2021 |
| Byzantine-resilient secure federated learning J So, B Güler, AS Avestimehr IEEE Journal on Selected Areas in Communications 39 (7), 2168-2181, 2020 | 175 | 2020 |
| CodedPrivateML: A fast and privacy-preserving framework for distributed machine learning J So, B Güler, AS Avestimehr IEEE Journal on Selected Areas in Information Theory 2 (1), 441-451, 2021 | 108 | 2021 |
| Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning J So, C He, CS Yang, S Li, Q Yu, R E Ali, B Guler, S Avestimehr Proceedings of Machine Learning and Systems 4, 694-720, 2022 | 94* | 2022 |
| Securing secure aggregation: Mitigating multi-round privacy leakage in federated learning J So, RE Ali, B Guler, J Jiao, S Avestimehr Proceedings of the AAAI Conference on Artificial Intelligence 37, 2023 | 41 | 2023 |
| A scalable approach for privacy-preserving collaborative machine learning J So, B Guler, S Avestimehr Advances in Neural Information Processing Systems 33, 8054-8066, 2020 | 34 | 2020 |
| Fedspace: An efficient federated learning framework at satellites and ground stations J So, K Hsieh, B Arzani, S Noghabi, S Avestimehr, R Chandra arXiv preprint arXiv:2202.01267, 2022 | 32 | 2022 |
| On polynomial approximations for privacy-preserving and verifiable relu networks RE Ali, J So, AS Avestimehr NeurIPS PPML Workshop 2020, 2020 | 21* | 2020 |
| Secure aggregation for buffered asynchronous federated learning J So, RE Ali, B Güler, AS Avestimehr Workshop on New Frontiers in Federated Learning in Conjunction with NeurIPS 2021, 2021 | 19 | 2021 |
| Digital predistortion based on envelope feedback J So, S Choi, SH Ahn, ER Jeong, YH Lee 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 13 | 2012 |
| Low-cost digital predistortion apparatus and method using envelope detection feedback YH Lee, JH So, ER Jeong, SH Choi, SH Ahn US Patent 9,148,093, 2015 | 10 | 2015 |
| Communication device and method of controlling same SO Jin-Hyun, SB Yeo, SJ Kong, SJ Heo, M Kim, CH Yi US Patent 9,712,345, 2017 | 2 | 2017 |
| Receiver apparatus and reception method in wireless communication system SJ Heo, SB Yeo, SO Jin-Hyun US Patent 9,479,360, 2016 | 2 | 2016 |
| LightVeriFL: Lightweight and Verifiable Secure Federated Learning B Buyukates, J So, H Mahdavifar, S Avestimehr Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 1 | 2022 |
| Generating model update data at satellite T Hsieh, JH So, B Arzani, SA NOGHABI, R Chandra US Patent App. 17/649,044, 2023 | | 2023 |
| Research Statement: Scalable, Secure, and Efficient Approaches for Privacy-Preserving Machine Learning J So | | |
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USC在 usc.edu 的电子邮件经过验证
