| A fundamental tradeoff between computation and communication in distributed computing S Li, MA Maddah-Ali, Q Yu, AS Avestimehr IEEE Transactions on Information Theory 64 (1), 109-128, 2017 | 509 | 2017 |
| Lagrange coded computing: Optimal design for resiliency, security, and privacy Q Yu, S Li, N Raviv, SMM Kalan, M Soltanolkotabi, SA Avestimehr The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 407 | 2019 |
| 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 | 399 | 2020 |
| A unified coding framework for distributed computing with straggling servers S Li, MA Maddah-Ali, AS Avestimehr 2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016 | 199 | 2016 |
| Coded mapreduce S Li, MA Maddah-Ali, AS Avestimehr 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 194 | 2015 |
| Coding for distributed fog computing S Li, MA Maddah-Ali, AS Avestimehr IEEE Communications Magazine 55 (4), 34-40, 2017 | 159 | 2017 |
| Polyshard: Coded sharding achieves linearly scaling efficiency and security simultaneously S Li, M Yu, CS Yang, AS Avestimehr, S Kannan, P Viswanath IEEE Transactions on Information Forensics and Security 16, 249-261, 2020 | 144 | 2020 |
| Jinhyun So C He, S Li Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh …, 2020 | 143 | 2020 |
| A scalable framework for wireless distributed computing S Li, Q Yu, MA Maddah-Ali, AS Avestimehr IEEE/ACM Transactions on Networking 25 (5), 2643-2654, 2017 | 133 | 2017 |
| Pipe-SGD: A decentralized pipelined SGD framework for distributed deep net training Y Li, M Yu, S Li, S Avestimehr, NS Kim, A Schwing Advances in Neural Information Processing Systems 31, 2018 | 118 | 2018 |
| 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 | 110 | 2022 |
| Near-optimal straggler mitigation for distributed gradient methods S Li, SMM Kalan, AS Avestimehr, M Soltanolkotabi 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018 | 108 | 2018 |
| Coded merkle tree: Solving data availability attacks in blockchains M Yu, S Sahraei, S Li, S Avestimehr, S Kannan, P Viswanath International Conference on Financial Cryptography and Data Security, 114-134, 2020 | 86 | 2020 |
| Gradiveq: Vector quantization for bandwidth-efficient gradient aggregation in distributed cnn training M Yu, Z Lin, K Narra, S Li, Y Li, NS Kim, A Schwing, M Annavaram, ... Advances in Neural Information Processing Systems 31, 2018 | 78 | 2018 |
| Coded computing: Mitigating fundamental bottlenecks in large-scale distributed computing and machine learning S Li, S Avestimehr Foundations and Trends® in Communications and Information Theory 17 (1), 1-148, 2020 | 75 | 2020 |
| Coded terasort S Li, S Supittayapornpong, MA Maddah-Ali, S Avestimehr 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 69 | 2017 |
| How to optimally allocate resources for coded distributed computing? Q Yu, S Li, MA Maddah-Ali, AS Avestimehr 2017 IEEE International Conference on Communications (ICC), 1-7, 2017 | 61 | 2017 |
| Coded distributed computing: Straggling servers and multistage dataflows S Li, MA Maddah-Ali, AS Avestimehr 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 55 | 2016 |
| Polynomially coded regression: Optimal straggler mitigation via data encoding S Li, SMM Kalan, Q Yu, M Soltanolkotabi, AS Avestimehr arXiv preprint arXiv:1805.09934, 2018 | 53 | 2018 |
| Edge-facilitated wireless distributed computing S Li, Q Yu, MA Maddah-Ali, AS Avestimehr 2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016 | 32 | 2016 |
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
