25 citations · 25 across the 3 of their papers we have counts for
4 papers
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
Mohamed Seif, Wei-Ting Chang, Ravi Tandon
In this paper, we study the problem of federated learning over a wireless channel with user sampling, modeled by a Gaussian multiple access channel, subject to central and local di…
Wireless Federated Learning with Local Differential Privacy
Mohamed Seif, Ravi Tandon, Ming Li
In this paper, we study the problem of federated learning (FL) over a wireless channel, modeled by a Gaussian multiple access channel (MAC), subject to local differential privacy (…
Sparse Spectrum Sensing in Infrastructure-less Cognitive Radio Networks via Binary Consensus Algorithms
Mohamed Seif, Tamer Elbatt, Karim G. Seddik
Compressive Sensing has been utilized in Cognitive Radio Networks (CRNs) to exploit the sparse nature of the occupation of the primary users. Also, distributed spectrum sensing has…
Censoring for Improved Sensing Performance in Infrastructure-less Cognitive Radio Networks
Mohamed Seif, Mohammed Karmoose, Moustafa Youssef
Censoring has been proposed to be utilized in wireless distributed detection networks with a fusion center to enhance network performance in terms of error probability in addition…