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Combinatorial slee** bandits with fairness constraints
The multi-armed bandit (MAB) model has been widely adopted for studying many practical
optimization problems (network resource allocation, ad placement, crowdsourcing, etc.) with …
optimization problems (network resource allocation, ad placement, crowdsourcing, etc.) with …
Multi-players bandit algorithms for internet of things networks
L Besson - 2019 - theses.hal.science
In this PhD thesis, we study wireless networks and reconfigurable end-devices that can
access Cognitive Radio networks, in unlicensed bands and without central control. We focus …
access Cognitive Radio networks, in unlicensed bands and without central control. We focus …
Federated learning with fair worker selection: A multi-round submodular maximization approach
In this paper, we study the problem of fair worker selection in Federated Learning systems,
where fairness serves as an incentive mechanism that encourages more workers to …
where fairness serves as an incentive mechanism that encourages more workers to …
Online Learning for Resource Allocation in Wireless Networks: Fairness, Communication Efficiency, and Data Privacy
F Li - 2022 - vtechworks.lib.vt.edu
Abstract As the Next-Generation (NextG, 5G and beyond) wireless network supports a wider
range of services, optimization of resource allocation plays a crucial role in ensuring efficient …
range of services, optimization of resource allocation plays a crucial role in ensuring efficient …