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Monopraphs

  1. S. Li and A. S. Avestimehr, "Coded Computing," Foundations and Trends in Communications and Information Theory: Vol. 17: No. 1, pp 1-148, Aug 2020.

Journal Papers and Preprints

  1. H. Hu, Y. Wu, Y. Shi, S. Li, C. Jiang, and W. Zhang, "Communication-Efficient Coded Computing for Distributed Multi-Task Learning," IEEE Transactions on Communications, Apr. 2023.
  2. T. Jahani-Nezhad, M. A. Maddah-Ali, S. Li, and G. Caire, "Swiftagg+: Achieving asymptotically optimal communication loads in secure aggregation for federated learning," IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 977–989, Mar. 2023.
  3. J. Zhu, S. Li, and J. Li, "Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage," IEEE Transactions on Information Forensics and Security, vol. 18, pp. 1680-1695, 2023.
  4. J. Zhu, S. Li, "A Systematic Approach towards Efficient Private Matrix Multiplication," IEEE Journal on Selected Areas in Information Theory, vol. 3, no. 2, pp. 257-274, June 2022.
  5. J. Zhu, Q. Yan, X. Tang, and S. Li, "Symmetric Private Polynomial Computation From Lagrange Encoding," IEEE Transactions on Information Theory, vol. 68, no. 4, pp. 2704-2718, Jan. 2022.
  6. A. R. Elkordy, S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Compressed Coded Distributed Computing," IEEE Transactions on Communications, vol. 69, no. 5, pp. 2773-2783, May 2021.
  7. S. Li, D. Tse, "TaiJi: Longest Chain Availability with BFT Fast Confirmation," e-print arXiv:2011.11097, Nov. 2020.
  8. S. Li, M. Yu, C. Yang, A. S. Avestimehr, S. Kanna, and P. Viswanath, "PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 249-261, July 2020.
  9. S. Li, M. Mousavi Kalan, Q. Yu, M. Soltanolkotabi, and A. S. Avestimehr, "Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding," e-print arXiv:1805.09934.
  10. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Coding for Distributed Fog Computing," IEEE Communications Magazine, vol. 55, no. 4, pp. 34-40, Apr. 2017.
  11. S. Li, Q. Yu, M. Maddah-Ali, and A. S. Avestimehr, "A Scalable Framework for Wireless Distributed Computing," IEEE/ACM Transactions on Networking, vol. 25, no. 5, pp. 2643-2654, Oct. 2017.
  12. S. Li, Q. Yu, M. Maddah-Ali, and A. S. Avestimehr, "A Fundamental Tradeoff between Computation and Communication in Distributed Computing," IEEE Transactions on Information Theory, vol. 64, no. 1, pp. 109-128, Jan. 2018.
  13. S. Li, D. Kao, and A. S. Avestimehr, "Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology," IEEE Transactions on Communications, Vol. 64, No. 2, Feb. 2016.

News Articles

  1. S. Li, and A. S. Avestimehr, "Coding for Distributed Computation on the Edge: Enabling Robust and Resilient Edge Computing in a Service Oriented Network," IEEE ComSoc Technology News, Aug. 2018.

Conference Papers

  1. S. Li, D. Yao, and J. Liu, "FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models," ICML, July 2023.
  2. Y. Dai and S. Li, "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning," ICML, July 2023.
  3. J. Tang, J. Zhu, S. Li, and L. Sun, "Secure Embedding Aggregation for Federated Representation Learning," IEEE ISIT, June 2023.
  4. Z. Huang, S. Li, K. Liang, and Y. Wu, "Secure Gradient Aggregation for Wireless Multi-Server Federated Learning," IEEE ISIT, June 2023.
  5. H. Hu, S. Li, M. Cheng, and Y. Wu, "Coded Distributed Computing for Hierarchical Multi-Task Learning," IEEE ITW, Apr. 2023.
  6. J. Shao, Y. Sun, S. Li, and J. Zhang, "DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing," NeurIPS, Nov. 2022.
  7. J. Zhu and S. Li, "Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff," IEEE ISIT, June 2022.
  8. T. Jahani-Nezhad, M. A. Maddah-Ali, S. Li, and G. Caire, "SwiftAgg: Communication-efficient and dropout-resistant secure aggregation for federated learning with worst-case security guarantees," IEEE ISIT, June 2022.
  9. Y. Sun, J. Shao, S. Li, Y. Mao, J. Zhang, "Stochastic coded federated learning with convergence and privacy guarantees," IEEE ISIT, June 2022.
  10. C. Yang, J. So, C. He, S. Li, Q. Yu, R. Ali, B. Guler, S. Avestimehr, "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning," Conference on Machine Learning and Systems (MLSys), Aug. 2022.
  11. J. Liang, W. Jiang, S. Li, "OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning," ICML International Workshop on Federated Learning for User Privacy and Data Confidentiality (FL-ICML), July 2021.
  12. C. He, S. Li, J. So, M. Zhang, X. Zeng, H. Wang, X. Wang, P. Vepakomma, A. Singh, H. Qiu, L. Shen, P. Zhao, Y. Kang, Y. Liu, R. Raskar, Q. Yang, M. Annavaram and A. S. Avestimehr, "FedML: A Research Library and Benchmark for Federated Machine Learning," NeurIPS SpicyFL workshop, Dec. 2020.
  13. S. Li, M. Yu, C. Yang, A. S. Avestimehr, S. Kanna, and P. Viswanath, "PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously," IEEE ISIT, June 2020.
  14. M. Yu, S. Sahraei, S. Li, A. S. Avestimehr, S. Kanna, and P. Viswanath, "Coded Merkle Tree: Solving Data Availability Attacks in Blockchains," Financial Cryptography and Data Security, Feb. 2020.
  15. S. Li, S. Sahraei, M. Yu, A. S. Avestimehr, S. Kanna, and P. Viswanath, "Coded State Machine - Scaling State Machine Execution under Byzantine Faults," PODC, July 2019.
  16. Q. Yu, S. Li, N. Raviv, M. Mousavi Kalan, M. Soltanolkotabi, and A. S. Avestimehr, "Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy," International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Apr. 2019.
  17. Q. Yu, N. Raviv, S. Li, M. Mousavi Kalan, M. Soltanolkotabi, and A. S. Avestimehr, "Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy," NeurIPS MLSys workshop, Dec. 2018.
  18. Y. Li, M. Yu, S. Li, A. S. Avestimehr, NS Kim, and A. Schwing, "Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training," NIPS, Dec. 2018.
  19. M. Yu, Z. Lin, H. V. Narra, S. Li, Y. Li, NS Kim, A. Schwing, M. Annavaram, and A. S. Avestimehr, "GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training," NIPS, Dec. 2018.
  20. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Compressed Coded Distributed Computing," IEEE ISIT, June 2018.
  21. S. Li, M. Mousavi Kalan, A. S. Avestimehr, and M. Soltanolkotabi, "Near-Optimal Straggler Mitigation for Distributed Gradient Methods," 7th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics, May 2018.
  22. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Architectures for Coded Mobile Edge Computing," Fog World Congress, Oct. 2017.
  23. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Communication-Aware Computing for Edge Processing," IEEE ISIT, June 2017.
  24. S. Li, S. Supittayapornpong, M. Maddah-Ali, and A. S. Avestimehr, "Coded TeraSort," 6th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics, May 2017.
  25. Q. Yu, S. Li, M. Maddah-Ali, and A. S. Avestimehr, "How to optimally allocate resources for coded distributed computing?," IEEE ICC, May 2017.
  26. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "A Unified Coding Framework for Distributed Computing with Straggling Servers," IEEE NetCod, Dec. 2016.
  27. S. Li, Q. Yu, M. Maddah-Ali, and A. S. Avestimehr, "Edge-Facilitated Wireless Distributed Computing," IEEE GLOBECOM, Dec. 2016.
  28. S. Li, Q. Yu, M. Maddah-Ali, and A. S. Avestimehr, "Coded Distributed Computing: Fundamental Limits and Practical Challenges," IEEE Asilomar Conference on Signals, Systems, and Computers, Nov. 2016.
  29. S. Li, Q. Yu, M. Maddah-Ali, and A. S. Avestimehr, "A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing," The First IEEE/ACM Symposium on Edge Computing, Oct. 2016.
  30. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Coded Distributed Computing: Straggling Servers and Multistage Dataflows," 54th Annual Allerton Conference, Sept. 2016.
  31. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Fundamental Tradeoff between Computation and Communication in Distributed Computing," IEEE ISIT, July 2016.
  32. S. Li, M. Maddah-Ali, and A. S. Avestimehr, "Coded MapReduce," 53rd Annual Allerton Conference, Sept. 2015.
  33. S. Li, D. Kao, and A. S. Avestimehr, "Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology," IEEE ISIT, June 2015.
  34. S. Li, E. Akyol and U. Mitra, "Power allocation for Gaussian multiple access channel with noisy cooperative links," IEEE ICASSP, May 2014.
  35. S. Li, U. Mitra and A. Pandharipande, "Cooperative spectrum sharing with joint receiver decoding," IEEE ICASSP, May 2013.
  36. S. Li, U. Mitra, V. Ratnam and A. Pandharipande, "Jointly cooperative decode-and-forward relaying for secondary spectrum access," CISS, Mar. 2012.