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M. Nakıp

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#machine learning Preprint Sep 2026

QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles

FedQoS is proposed, a novel asynchronous, event-triggered FL framework that decouples local computation from global communication via a two-phase gating mechanism that achieves competitive personalized accuracy with only marginal performance loss compared to FedAvg, while substantially reducing QoS violations.

Baran Can Gül, M. Nakıp, N. Jazdi et al. · 0 citations