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ORCIDMohamed Seif
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2020 – today
- 2025
[j9]Mohamed Seif
, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits. IEEE Trans. Inf. Forensics Secur. 20: 8312-8326 (2025)- [i19]Antti Koskela, Mohamed Seif, Andrea J. Goldsmith:
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models. CoRR abs/2505.05816 (2025) - [i18]Faranaksadat Solat, Joohyung Lee, Mohamed Seif, Dusit Niyato, H. Vincent Poor:
Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission. CoRR abs/2507.00082 (2025) - 2024
- [j8]Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. IEEE J. Sel. Areas Inf. Theory 5: 331-346 (2024) - [j7]Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor:
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. IEEE Netw. 38(6): 388-395 (2024) - [j6]Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Privacy Preserving Semi-Decentralized Mean Estimation Over Intermittently-Connected Networks. IEEE Trans. Signal Process. 72: 5306-5321 (2024) - [j5]Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor:
Optimizing Privacy and Latency Tradeoffs in Split Federated Learning Over Wireless Networks. IEEE Wirel. Commun. Lett. 13(12): 3439-3443 (2024) - [c17]Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith, H. Vincent Poor:
Over-the-Air Collaborative Inference with Feature Differential Privacy. IEEECONF 2024: 684-688 - [c16]Merkebu Girmay, Mohamed Seif, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, H. Vincent Poor, Ingrid Moerman:
Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks. DySPAN 2024: 465-472 - [c15]Hojjat Navidan, Merkebu Girmay, Mohamed Seif, H. Vincent Poor, Ingrid Moerman, Adnan Shahid:
Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition. VNC 2024: 283-289 - [i17]Mohamed Seif, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor:
Private Online Community Detection for Censored Block Models. CoRR abs/2405.05724 (2024) - [i16]Mohamed Seif, Yanxi Chen:
Clustering Mixtures of Discrete Distributions: A Note on Mitra's Algorithm. CoRR abs/2405.19559 (2024) - [i15]Mohamed Seif, Yuqi Nie, Andrea Goldsmith, H. Vincent Poor:
Over-the-Air Collaborative Inference with Feature Differential Privacy. CoRR abs/2406.00256 (2024) - [i14]Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks. CoRR abs/2406.03766 (2024) - [i13]Mohamed Seif, Yuqi Nie, Andrea J. Goldsmith, H. Vincent Poor:
Collaborative Inference over Wireless Channels with Feature Differential Privacy. CoRR abs/2410.19917 (2024) - [i12]Mostafa Naseri, Pooya Ashtari, Mohamed Seif, Eli De Poorter, H. Vincent Poor, Adnan Shahid:
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency. CoRR abs/2411.10650 (2024) - [i11]Joohyung Lee, Jungchan Cho, Wonjun Lee, Mohamed Seif, H. Vincent Poor:
Game-Theoretic Joint Incentive and Cut Layer Selection Mechanism in Split Federated Learning. CoRR abs/2412.07813 (2024) - 2023
- [j4]Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li:
Answering Count Queries for Genomic Data With Perfect Privacy. IEEE Trans. Inf. Forensics Secur. 18: 3862-3875 (2023) - [c14]Sadaf ul Zuhra, Mohamed Seif, Karim Banawan, H. Vincent Poor:
Random Orthogonalization for Private Wireless Federated Learning. ACSSC 2023: 233-236 - [c13]Mohamed Seif, Andrea J. Goldsmith, H. Vincent Poor:
Differentially Private Community Detection over Stochastic Block Models with Graph Sketching. CISS 2023: 1-6 - [c12]Mohamed Seif, Alphan Sahin, H. Vincent Poor, Andrea J. Goldsmith:
On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation. GLOBECOM 2023: 213-218 - [c11]Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. ISIT 2023: 174-179 - [i10]Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. CoRR abs/2303.00035 (2023) - [i9]Joohyung Lee, Mohamed Seif, Jungchan Cho, H. Vincent Poor:
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. CoRR abs/2311.09441 (2023) - 2022
- [c10]Wei-Ting Chang, Mohamed Seif, Ravi Tandon:
Differentially Private Federated Learning with Drift Control. CISS 2022: 240-245 - [i8]Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon:
Differentially Private Community Detection for Stochastic Block Models. CoRR abs/2202.00636 (2022) - [i7]Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li:
Answering Count Queries for Genomic Data with Perfect Privacy. CoRR abs/2202.01806 (2022) - 2021
- [j3]Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li:
Context-Aware Local Information Privacy. IEEE Trans. Inf. Forensics Secur. 16: 3694-3708 (2021) - [c9]Mohamed Seif, Wei-Ting Chang, Ravi Tandon:
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation. ISIT 2021: 2732-2737 - [i6]Mohamed Seif, Wei-Ting Chang, Ravi Tandon:
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation. CoRR abs/2103.01953 (2021) - 2020
- [c8]Mohamed Seif, Ravi Tandon, Ming Li:
Wireless Federated Learning with Local Differential Privacy. ISIT 2020: 2604-2609 - [i5]Mohamed Seif, Ravi Tandon, Ming Li:
Wireless Federated Learning with Local Differential Privacy. CoRR abs/2002.05151 (2020)
2010 – 2019
- 2019
- [j2]Mohamed Seif, Ravi Tandon, Ming Li:
Secure Retrospective Interference Alignment. Entropy 21(11): 1092 (2019) - [c7]Mohamed Seif, Ravi Tandon, Ming Li:
Context Aware Laplacian Mechanism for Local Information Privacy. ITW 2019: 1-5 - 2018
- [c6]Mohamed Seif, Ravi Tandon, Ming Li:
On the Secure Degrees of Freedom of 2 x 2 x 2 Multi-Hop Network with Untrusted Relays. ICC 2018: 1-7 - [c5]Mohamed Seif, Ravi Tandon, Ming Li:
On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT. ISIT 2018: 201-205 - [i4]Mohamed Seif, Ravi Tandon, Ming Li:
On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT. CoRR abs/1801.03494 (2018) - 2017
- [c4]Mohamed Seif, Amr El-Keyi, Karim G. Seddik, Mohammed Nafie:
Cooperative D2D communication in downlink cellular networks with energy harvesting capability. IWCMC 2017: 183-189 - 2016
- [c3]Mohamed Seif, Tamer A. ElBatt, Karim G. Seddik:
Sparse spectrum sensing in infrastructure-less cognitive radio networks via binary consensus algorithms. PIMRC 2016: 1-6 - [c2]Mohamed Seif, Amr El-Keyi, Mohammed Nafie:
Achievable Degrees of Freedom of the K-User MISO Broadcast Channel with Alternating CSIT via Interference Creation-Resurrection. VTC Fall 2016: 1-6 - [i3]Mohamed Seif, Amr El-Keyi, Mohammed Nafie:
Achievable Degrees of Freedom of the K-user MISO Broadcast Channel with Alternating CSIT via Interference Creation-Resurrection. CoRR abs/1605.02928 (2016) - [i2]Mohamed Seif, Tamer A. ElBatt, Karim G. Seddik:
Sparse Spectrum Sensing in Infrastructure-less Cognitive Radio Networks via Binary Consensus Algorithms. CoRR abs/1606.03639 (2016) - 2015
- [c1]Mohamed Seif, Mohammed Karmoose, Moustafa Youssef:
Censoring for Improved Sensing Performance in Infrastructure-Less Cognitive Radio Networks. VTC Spring 2015: 1-5 - [i1]Mohamed Seif, Mohammed Karmoose, Moustafa Youssef:
Censoring for Improved Sensing Performance in Infrastructure-less Cognitive Radio Networks. CoRR abs/1502.01986 (2015)
2000 – 2009
- 2002
- [j1]Behrooz Fallahi, Mohamed Seif:
Integration of Dynamic Equation of Spring-Mass-Damper Systems via Chebyshev Polynomials. Int. J. Comput. Math. 79(8): 923-930 (2002)
Coauthor Index
aka: Andrea Goldsmith
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