Mohamed Seif

Orcid: 0000-0002-7034-5851

According to our database1, Mohamed Seif authored at least 28 papers between 2002 and 2024.

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Bibliography

2024
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning.
IEEE Netw., November, 2024

Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming.
IEEE J. Sel. Areas Inf. Theory, 2024

Collaborative Inference over Wireless Channels with Feature Differential Privacy.
CoRR, 2024

Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks.
CoRR, 2024

Over-the-Air Collaborative Inference with Feature Differential Privacy.
CoRR, 2024

Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm.
CoRR, 2024

Private Online Community Detection for Censored Block Models.
CoRR, 2024

Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition.
Proceedings of the IEEE Vehicular Networking Conference, 2024

Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024

2023
Answering Count Queries for Genomic Data With Perfect Privacy.
IEEE Trans. Inf. Forensics Secur., 2023

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2023

On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation.
Proceedings of the IEEE Global Communications Conference, 2023

Differentially Private Community Detection over Stochastic Block Models with Graph Sketching.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Random Orthogonalization for Private Wireless Federated Learning.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Differentially Private Community Detection for Stochastic Block Models.
CoRR, 2022

Differentially Private Federated Learning with Drift Control.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021
Context-Aware Local Information Privacy.
IEEE Trans. Inf. Forensics Secur., 2021

Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Wireless Federated Learning with Local Differential Privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Secure Retrospective Interference Alignment.
Entropy, 2019

Context Aware Laplacian Mechanism for Local Information Privacy.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

2018
On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Secure Degrees of Freedom of 2 x 2 x 2 Multi-Hop Network with Untrusted Relays.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Cooperative D2D communication in downlink cellular networks with energy harvesting capability.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

2016
Achievable Degrees of Freedom of the K-User MISO Broadcast Channel with Alternating CSIT via Interference Creation-Resurrection.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

Sparse spectrum sensing in infrastructure-less cognitive radio networks via binary consensus algorithms.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

2015
Censoring for Improved Sensing Performance in Infrastructure-Less Cognitive Radio Networks.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

2002
Integration of Dynamic Equation of Spring-Mass-Damper Systems via Chebyshev Polynomials.
Int. J. Comput. Math., 2002


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