| Coded computation over heterogeneous clusters A Reisizadeh, S Prakash, R Pedarsani, AS Avestimehr IEEE Transactions on Information Theory 65 (7), 4227-4242, 2019 | 284 | 2019 |
| Coded computation over heterogeneous clusters A Reisizadeh, S Prakash, R Pedarsani, S Avestimehr 2017 IEEE International Symposium on Information Theory (ISIT), 2017 | 272 | 2017 |
| Coded Federated Learning S Dhakal, S Prakash, Y Yona, S Talwar, N Himayat 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 106 | 2019 |
| Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks S Prakash, S Dhakal, MR Akdeniz, Y Yona, S Talwar, S Avestimehr, ... IEEE Journal on Selected Areas in Communications 39 (1), 233-250, 2020 | 98 | 2020 |
| Technologies for distributing gradient descent computation in a heterogeneous multi-access edge computing (MEC) networks S Prakash, S Dhakal, Y Yona, N Himayat, S Talwar US Patent 11,244,242, 2022 | 62 | 2022 |
| Coded computing for distributed graph analytics S Prakash, A Reisizadeh, R Pedarsani, AS Avestimehr IEEE Transactions on Information Theory, 2020 | 59 | 2020 |
| Coded computing for distributed graph analytics S Prakash, A Reisizadeh, R Pedarsani, S Avestimehr 2018 IEEE International Symposium on Information Theory (ISIT), 1221-1225, 2018 | 59 | 2018 |
| Secure and Fault Tolerant Decentralized Learning S Prakash, H Hashemi, Y Wang, M Annavaram, AS Avestimehr arXiv preprint arXiv:2010.07541v5, 2022 | 42* | 2022 |
| CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning A Reisizadeh*, S Prakash*, R Pedarsani, ... IEEE/ACM Transactions on Networking, 2021 | 26 | 2021 |
| Coded Computing for Distributed Machine Learning in Wireless Edge Network S Dhakal*, S Prakash*, Y Yona, S Talwar, ... 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019 | 26 | 2019 |
| Tree Gradient Coding A Reisizadeh*, S Prakash*, R Pedarsani, ... 2019 IEEE International Symposium on Information Theory (ISIT), 2019 | 22 | 2019 |
| A Pre-defined Sparse Kernel Based Convolution for Deep CNNs S Kundu*, S Prakash*, H Akrami, PA Beerel, ... 2019 57th Annual Allerton Conference on Communication, Control, and Computing, 2019 | 19* | 2019 |
| Hierarchical Coded Gradient Aggregation for Learning at the Edge S Prakash, A Reisizadeh, R Pedarsani, AS Avestimehr 2020 IEEE International Symposium on Information Theory (ISIT), 2616-2621, 2020 | 16 | 2020 |
| Basil: A fast and byzantine-resilient approach for decentralized training AR Elkordy, S Prakash, S Avestimehr IEEE Journal on Selected Areas in Communications 40 (9), 2694-2716, 2022 | 15 | 2022 |
| Federated sparse training: Lottery aware model compression for resource constrained edge S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 12 | 2022 |
| Federated Learning of Large Models at the Edge via Principal Sub-Model Training Y Niu*, S Prakash*, S Kundu, S Lee, S Avestimehr (* = equal contribution) arXiv preprint arXiv:2208.13141, 2022 | 12 | 2022 |
| Coded Computing for Federated Learning at the Edge S Prakash, S Dhakal, M Akdeniz, AS Avestimehr, N Himayat arXiv preprint arXiv:2007.03273, 2020 | 12 | 2020 |
| Systems and methods for distributed learning for wireless edge dynamics MR Akdeniz, A Anand, N Himayat, AS Avestimehr, R Balakrishnan, ... WO Patent App. WO/2021/158,313, 2021 | 11 | 2021 |
| Machine Unlearning of Federated Clusters C Pan*, J Sima*, S Prakash*, V Rana, ... International Conference on Learning Representations (ICLR), 2023 | 10 | 2023 |
| Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr Transactions on Machine Learning Research, 2023 | 6 | 2023 |
Salman AvestimehrDean's Professor and Director of USC-Amazon Center on Trustworthy AI, USCVerified email at usc.edu
