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12/11/2022
Client Selection for Federated Bayesian Learning
Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametr...
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11/23/2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
Variational particle-based Bayesian learning methods have the advantage ...
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09/11/2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
This paper introduces Distributed Stein Variational Gradient Descent (DS...
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04/20/2020
Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles
Internet of Things (IoT) systems may be deployed to monitor spatially di...
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04/06/2020
Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access
We consider the dynamic spectrum access (DSA) problem where K Internet o...
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03/19/2020
Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services
Communication services with heterogeneous performance requirements are e...
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12/22/2019
Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling
This paper considers the coexistence of Ultra Reliable Low Latency Commu...
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09/23/2019
Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services
In this paper, we study the coexistence of critical and non-critical Int...
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07/11/2019
Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs Cloud Detection and Learning
A multi-cell Fog-Radio Access Network (F-RAN) architecture is considered...
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09/05/2018
Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN
In this paper, a Fog-Radio Access Network (F-RAN) architecture is consid...
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04/18/2018
