Integration of Dynamic Equation of Spring-Mass-Damper Systems via Chebyshev Polynomials. - Behrooz Fallahi; Mohamed Seif (Int. J. Comput. Math., 2002)

Censoring for Improved Sensing Performance in Infrastructure-Less Cognitive Radio Networks. - Mohamed Seif; Mohammed Karmoose; Moustafa Youssef 001 (VTC Spring, 2015)

Sparse spectrum sensing in infrastructure-less cognitive radio networks via binary consensus algorithms. - Mohamed Seif; Tamer A. ElBatt; Karim G. Seddik (PIMRC, 2016)

Achievable Degrees of Freedom of the K-User MISO Broadcast Channel with Alternating CSIT via Interference Creation-Resurrection. - Mohamed Seif; Amr El-Keyi; Mohammed Nafie (VTC Fall, 2016)

Cooperative D2D communication in downlink cellular networks with energy harvesting capability. - Mohamed Seif; Amr El-Keyi; Karim G. Seddik; Mohammed Nafie (IWCMC, 2017)

On the Secure Degrees of Freedom of 2 x 2 x 2 Multi-Hop Network with Untrusted Relays. - Mohamed Seif; Ravi Tandon; Ming Li 003 (ICC, 2018)

On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT. - Mohamed Seif; Ravi Tandon; Ming Li 003 (ISIT, 2018)

Context Aware Laplacian Mechanism for Local Information Privacy. - Mohamed Seif; Ravi Tandon; Ming Li 003 (ITW, 2019)

Secure Retrospective Interference Alignment. - Mohamed Seif; Ravi Tandon; Ming Li 003 (Entropy, 2019)

Wireless Federated Learning with Local Differential Privacy. - Mohamed Seif; Ravi Tandon; Ming Li 003 (ISIT, 2020)

Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation. - Mohamed Seif; Wei-Ting Chang; Ravi Tandon (ISIT, 2021)

Context-Aware Local Information Privacy. - Bo Jiang 015; Mohamed Seif; Ravi Tandon; Ming Li 003 (IEEE Trans. Inf. Forensics Secur., 2021)

Differentially Private Federated Learning with Drift Control. - Wei-Ting Chang; Mohamed Seif; Ravi Tandon (CISS, 2022)

Differentially Private Community Detection for Stochastic Block Models. - Mohamed Seif; Dung Nguyen 002; Anil Vullikanti; Ravi Tandon (CoRR, 2022)

Random Orthogonalization for Private Wireless Federated Learning. - Sadaf ul Zuhra; Mohamed Seif; Karim Banawan; H. Vincent Poor (ACSSC, 2023)

Differentially Private Community Detection over Stochastic Block Models with Graph Sketching. - Mohamed Seif; Andrea J. Goldsmith; H. Vincent Poor (CISS, 2023)

On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation. - Mohamed Seif; Alphan Sahin; H. Vincent Poor; Andrea J. Goldsmith (GLOBECOM, 2023)

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (ISIT, 2023)

Answering Count Queries for Genomic Data With Perfect Privacy. - Bo Jiang 015; Mohamed Seif; Ravi Tandon; Ming Li 003 (IEEE Trans. Inf. Forensics Secur., 2023)

Over-the-Air Collaborative Inference with Feature Differential Privacy. - Mohamed Seif; Yuqi Nie; Andrea J. Goldsmith; H. Vincent Poor (IEEECONF, 2024)

Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks. - Merkebu Girmay; Mohamed Seif; Vasilis Maglogiannis; Dries Naudts; Adnan Shahid; H. Vincent Poor; Ingrid Moerman (DySPAN, 2024)

Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition. - Hojjat Navidan; Merkebu Girmay; Mohamed Seif; H. Vincent Poor; Ingrid Moerman; Adnan Shahid (VNC, 2024)

Private Online Community Detection for Censored Block Models. - Mohamed Seif; Liyan Xie; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2024)

Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm. - Mohamed Seif; Yanxi Chen 001 (CoRR, 2024)

Collaborative Inference over Wireless Channels with Feature Differential Privacy. - Mohamed Seif; Yuqi Nie; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2024)

Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency. - Mostafa Naseri; Pooya Ashtari; Mohamed Seif; Eli De Poorter; H. Vincent Poor; Adnan Shahid (CoRR, 2024)

Game-Theoretic Joint Incentive and Cut Layer Selection Mechanism in Split Federated Learning. - Joohyung Lee 001; Jungchan Cho; Wonjun Lee 004; Mohamed Seif; H. Vincent Poor (CoRR, 2024)

Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. - Mohamed Seif; Yanxi Chen 001; Andrea J. Goldsmith; H. Vincent Poor (IEEE J. Sel. Areas Inf. Theory, 2024)

Privacy Preserving Semi-Decentralized Mean Estimation Over Intermittently-Connected Networks. - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (IEEE Trans. Signal Process., 2024)

Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. - Joohyung Lee 001; Mohamed Seif; Jungchan Cho; H. Vincent Poor (IEEE Netw., 2024)

Optimizing Privacy and Latency Tradeoffs in Split Federated Learning Over Wireless Networks. - Joohyung Lee 001; Mohamed Seif; Jungchan Cho; H. Vincent Poor (IEEE Wirel. Commun. Lett., 2024)

Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits. - Mohamed Seif; Liyan Xie; Andrea J. Goldsmith; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2025)

On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models. - Antti Koskela; Mohamed Seif; Andrea J. Goldsmith (CoRR, 2025)

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission. - Faranaksadat Solat; Joohyung Lee 001; Mohamed Seif; Dusit Niyato; H. Vincent Poor (CoRR, 2025)