Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)

arXiv:2403.11603v1 Announce Type: cross
Abstract: In intelligent Internet of Things (IoT) systems, edge servers within a network exchange information with their neighbors and collect data from sensors to complete delivered tasks. In this paper, we propose a multiplayer multi-armed bandit model for intelligent IoT systems to facilitate data collection and incorporate fairness considerations. In our model, we establish an effective communication protocol that helps servers cooperate with their neighbors. Then we design a distributed cooperative bandit algorithm, DC-ULCB, enabling servers …

abstract arxiv cs.dc cs.lg data distributed edge edge servers fair information intelligent internet internet of things iot multiplayer neighbors network networks paper report sensors servers systems tasks technical type