31 citations · 31 across the 4 of their papers we have counts for
8 papers
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…
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…