31 citations · 77 across the 11 of their papers we have counts for
11 papers
Client Selection for Federated Bayesian Learning
Jiarong Yang, Yuan Liu, Rahif Kassab
Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametric distributed learning framework for federated Bayesian learning, where multiple clients jointly train a ma…
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
Jinu Gong, Osvaldo Simeone, Rahif Kassab +1
Variational particle-based Bayesian learning methods have the advantage of not being limited by the bias affecting more conventional parametric techniques. This paper proposes to l…
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Rahif Kassab, Osvaldo Simeone
This paper introduces Distributed Stein Variational Gradient Descent (DSVGD), a non-parametric generalized Bayesian inference framework for federated learning. DSVGD maintains a nu…
Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles
Rahif Kassab, Osvaldo Simeone, Petar Popovski
Internet of Things (IoT) systems may be deployed to monitor spatially distributed quantities of interests (QoIs), such as noise or pollution levels. This paper considers a fog-base…
Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access
Rahif Kassab, Apostolos Destounis, Dimitrios Tsilimantos +1
We consider the dynamic spectrum access (DSA) problem where Internet of Things (IoT) devices compete for time slots constituting a frame. Devices collectively monitor e…
Grant-Free Coexistence of Critical and Non-Critical IoT Services in Two-Hop Satellite and Terrestrial Networks
Rahif Kassab, Andrea Munari, Federico Clazzer +1
Terrestrial and satellite communication networks often rely on two-hop wireless architectures with an access channel followed by backhaul links. Examples include Cloud-Radio Access…
Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling
Andrea Matera, Rahif Kassab, Osvaldo Simeone +1
This paper considers the coexistence of Ultra Reliable Low Latency Communications (URLLC) and enhanced Mobile BroadBand (eMBB) services in the uplink of Cloud Radio Access Network…
Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
Rahif Kassab, Osvaldo Simeone, Andrea Munari +1
In this paper, we study the coexistence of critical and non-critical Internet of Things (IoT) services on a grant-free channel consisting of radio access and backhaul segments. On…
Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning
Rahif Kassab, Osvaldo Simeone, Petar Popovski
A multi-cell Fog-Radio Access Network (F-RAN) architecture is considered in which Internet of Things (IoT) devices periodically make noisy observations of a Quantity of Interest (Q…
Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures
Rahif Kassab, Osvaldo Simeone, Petar Popovski +1
The fifth generation (5G) of cellular systems is introducing Ultra-Reliable Low-Latency Communications (URLLC) services alongside more conventional enhanced Mobile BroadBand (eMBB)…
Coexistence of URLLC and eMBB services in the C-RAN Uplink: An Information-Theoretic Study
Rahif Kassab, Osvaldo Simeone, Petar Popovski
The performance of orthogonal and non-orthogonal multiple access is studied for the multiplexing of enhanced Mobile BroadBand (eMBB) and Ultra-Reliable Low-Latency Communications (…