Salim El Rouayheb
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Associate Professor Email: salimnospam.elrouayheb@rutgers.edu
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Coding and Securing Information (CSI) Lab
More information about our research at the CSI Lab can be found here.
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Lab Members
Teaching
Video Talks
Visit our youtube channel.
News
August 2023: We are organizing the workshop “EdgeML: Distributed AI/ML at the Resource-Constrained Edge” Co-located with MILCOM 2023 Boston, MA, October 30, 2023.
August 2023: Our joint paper on Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks is available on arXiv now.
July 2023: We presented our joint paper on Random Walking Snakes for Decentralized Learning at Edge Networks got accepted to IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN) 2023.
June 2023: We presented our joint paper on CPA: Compressed Private Aggregation for Scalable Federated Learning over Massive Networks got accepted to ICASSP 2023.
April 2023: Our paper Walk for Learning: A Random Walk Approach for Distributed Learning on Heterogeneous Data has been published on IEEE Journal on Selected Areas in Communications.
Short Bio
Salim El Rouayheb is an associate professor in the ECE Department at Rutgers University. From 2013 to 2017, he was an assistant professor at the ECE Department at the Illinois Institute of Technology, Chicago. He was a research scholar at the Electrical Engineering Department at Princeton University (2012-2013) and a postdoc at the EECS department at the University of California, Berkeley (2010-2011). He received his Ph.D. degree in Electrical Engineering from Texas A&M University, College Station, in 2009. In 2019, he was the Rutgers University Walter Tyson Junior Faculty Chair. He received the Google Faculty Award in 2018 and the NSF CAREER award in 2016. His research interests lie in the area of information-theoretic security and privacy of data in networks and distributed systems.
General Research Interests
Information theoretic security in distributed systems
Private information retrieval and search
Secure machine learning algorithms
Data synchronization in distributed systems
Selected Publications
P. Kairouz, H. B. McMahan, B. Avent, A. Bellet, M. Bennis, A. N. Bhagoji, K. Bonawitz, Z. Charles, G. Cormode, R. Cummings, R. G.L. D'Oliveira, H. Eichner, S. El Rouayheb, D. Evans, J. Gardner, Z. Garrett, A. Gascón, B. Ghazi, P. B. Gibbons, M. Gruteser, Z. Harchaoui, C. He, L. He, Z. Huo, B. Hutchinson, J. Hsu, M. Jaggi, T. Javidi, G. Joshi, M. Khodak, J. Konecny, A. Korolova, F. Koushanfar, S. Koyejo, T. Lepoint, Y. Liu, P. Mittal, M. Mohri, R. Nock, A. Ozgur, R. Pagh, M. Raykova, H. Qi, D. Ramage, R. Raskar, D. Song, W. Song, S. U. Stich, Z. Sun, A. T. Suresh, F. Tramèr, P. Vepakomma, J. Wang, L. Xiong, Z. Xu, Q. Yang, F. X. Yu, H. Yu, S. Zhao, Advances and Open Problems in Federated Learning, Foundations and Trends in Machine Learning, Vol. 14, No. 1, July 2021.
R. Bitar, M. Wootters, and S. El Rouayheb, Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning, IEEE Journal on Selected Areas in Information Theory, Vol. 1, No. 1, May 2020.
F. Ye, C. Naim and S. El Rouayheb, ON-OFF Privacy Against Correlation Over Time, IEEE Transactions on Information Forensics and Security, January 2021.
R.G.L. D'Oliveira, S. El Rouayheb, D. Karpuk, GASP Codes for Secure Distributed Matrix Multiplication, IEEE Transactions on Information Theory, Vol. 66, No. 7, July 2020.
C. Naim, R. G. L. D'Oliveira, and S. El Rouayheb, Private Multi-Group Aggregation, IEEE Journal on Selected Areas in Communications, Vol. 40, No. 3, March 2022.
F. Ye, H. Cho, S. El Rouayheb, Mechanisms For Hiding Sensitive Genotypes With Information-Theoretic Privacy, IEEE Transactions on Information Theory, 2022.
G. Ayache and S. El Rouayheb, Private Weighted Random Walk Stochastic Gradient Descent, IEEE Journal on Selected Areas in Information Theory, January 2021.
R. Tajeddine, O. W. Gnilke, and S. El Rouayheb, Private Information Retrieval from MDS Coded Data in Distributed Storage Systems, IEEE Transactions on Information Theory, Vol. 64, No. 11, November 2018.
Shannon Channel
We are organizing the Shannon Channel on youtube. Recently we hosted talks on Coding and Optimization.
Workshop on Information Theory and Coding Theory with Applications to Data Security and Privacy
We co-organized a workshop on Information Theory and Coding Theory with Applications to Data Security and Privacy that was held at Institut Mittag-Leffler in Stockholm from May 15 to May 19, 2017.
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Chicago Shannon Centennial
We co-organized the IEEE ITSOC Shannon Centennial Event that was held in Chicago on September 23, 2016.
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