Rahif Kassab

Orcid: 0000-0002-0637-5060

According to our database1, Rahif Kassab authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Client Selection for Federated Bayesian Learning.
IEEE J. Sel. Areas Commun., April, 2023

2022
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent.
IEEE Trans. Signal Process., 2022

Grant-Free Coexistence of Critical and Noncritical IoT Services in Two-Hop Satellite and Terrestrial Networks.
IEEE Internet Things J., 2022

Communication-Efficient Federated Bayesian Learning via Client Selection.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning.
CoRR, 2021

2020
Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs. Cloud Detection and Learning.
IEEE Trans. Wirel. Commun., 2020

Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services.
CoRR, 2020

Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures.
IEEE Access, 2019

2018
Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling.
Entropy, 2018

Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN.
CoRR, 2018

Coexistence of URLLC and eMBB Services in the C-RAN Uplink: An Information-Theoretic Study.
Proceedings of the IEEE Global Communications Conference, 2018


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