Abstract
AbstractThe performance of the Federated Learning suffers from the failure of communication links and missing nodes, especially when continuous exchanges of model parameters are required. In this chapter, we propose the use of Unmanned Aerial Vehicles (UAVs) as wireless relays to facilitate the communications between the Internet of Vehicles (IoV) components and the FL server and thus improving the accuracy of the FL. However, a single UAV may not have sufficient resources to provide services for all iterations of the FL process. Therefore, we present a joint auction–coalition formation framework to solve the allocation of UAV coalitions to groups of IoV components. Specifically, the coalition formation game is formulated to maximize the sum of individual profits of the UAVs. The joint auction–coalition formation algorithm is proposed to achieve a stable partition of UAV coalitions. Thereafter, we design an auction scheme to solve the allocation of UAV coalitions. The auction scheme takes into account the preferences of IoV components over heterogeneous UAVs. The simulation results show the communication latency reduction of FL using our proposed scheme.KeywordsFederated learningEdge intelligenceCommunication efficiencyInternet of vehiclesUnmanned aerial vehicleIncentive mechanismCoalition formationAuction
Published Version
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