Mohamed Seif
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Mohamed Seif, Ph.D. Email: mseif@princeton.edu |
Biography and Current Research
I am currently a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering, Princeton University, hosted by Andrea Goldsmith and Vincent Poor. I completed my Ph.D. in Electrical and Computer Engineering at the University of Arizona, in 2022.
My current research interests are:
Privacy Preserving Technologies
Wireless Communications
Distributed Computing and Sensing
Machine Learning Systems
Information Theoretic Security
Graph Analytics
Recent News
(April 2024): New Journal Paper and pre-print:
‘‘Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning’’, IEEE Network
‘‘Over-the-Air Collaborative Inference with Feature Differential Privacy’’, pre-print
(March 2024): Invited Talk and New Pre-print:
‘‘Fundamental Limits of Data Privacy for Information Networks’’, San José, CA
‘‘Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition’’, pre-print
(February 2024): New Conference Paper and Pre-print:
‘‘Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks’’, IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
‘‘Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks’’, pre-print
‘‘Private Online Community Detection for Censored Block Models’’, pre-print
(January 2024): New Journal Paper:
‘‘Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming’’, IEEE Journal of Selected Areas of Information Theory (JSAIT), accepted with minor revision.
(Novemeber 2023): New Patent:
New filed US Patent on Privacy-preserving AI for Next Generation Networks.
(October 2023): I will give a presentation on Private Community Detection over Graphs at INFORMS Annual Meeting.
(August 2023): New Conference Paper:
’'On Differential Privacy for Wireless Federated Learning with Non-coherent Wireless Aggregation’’, IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, December 2023.
(July 2023): New Conference and Journal Papers:
“Answering Count Queries for Genomic Data under Perfect Privacy”, IEEE Transactions on Information Forensics and Security, 2023.
‘‘Random Orthogonalization for Private Wireless Federated Learning", Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, California, October 2023.
(April 2023) New Conference Paper:
‘‘Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy", International Symposium on Information Theory (ISIT), July 2023.
(January 2023) New Conference Paper:
‘‘Differentially Private Community Detection over Stochastic Block Models with Graph Sketching’’, Conference on Information Sciences and Systems (CISS), March 2023.