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
Will be teaching ECE 312: Discrete Mathematics in Fall 2024.
Video Talks
Visit our youtube channel.
News
January 2025: Will be giving a talk Walk for Resiliency & Privacy: A Random Walk Framework for Learning at the Edge at Joint Mathematics Meetings.
January 2025: We will present our paper on Between Close Enough to Reveal and Far Enough to Protect: a New Privacy Region for Correlated Data is now available on arXiv.
November 2024: We will present our paper on Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs at Globecom 2024.
October 2024: Co-organizing Distributed AI/ML at the Resource-Constrained Edge workshop co-located with MILCOM 2024.
October 2024: Co-organizing Machine Learning for Next Generation Communication and Edge Networks (ML4NxtGNet) workshop in conjunction with ACM MOBIHOC 2024.
July 2024: Our new paper Self-Duplicating Random Walks for Resilient Decentralized Learning on Graphs is now available on arXiv.
July 2024: Will be giving a talk How to Secretly Multiply Matrices at EURECOM.
July 2024: Will be giving a talk A Random Walk Approach for Decentralized Learning on Graphs at CNRS & Côte d'Azur University.
May 2024: Our paper Secure Distributed Matrix Multiplication with Precomputation is now available on arXiv.
April 2024: Presented a talk at Munich Workshop on Coding and Cryptography (MWCC) 2024 with title “Decentralized Learning Algorithms via Random Walks on Graphs”.
April 2024: Our paper “Secure Distributed Matrix Multiplication with Precomputation” has been accepted to ISIT 2024.
April 2024: Our paper “The Entrapment Problem in Random Walk Decentralized Learning” has been accepted to ISIT 2024.
Mar 2024: Gave a talk on “Decentralized Learning Algorithms via Random Walks on Graphs” at DECAL Workshop at Clemson University.
January 2024: Gave a talk at Joint Mathematics Meetings (JMM) 2024 SF on “How to turn privacy ON and OFF”.
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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