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G. S. M. I. M. Saeid HaghighiFard

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Preprint Aug 2026

Hierarchical Multi-Task Federated Learning in VANETs

An AutoEncoder-based Reliability-Optimized Hierarchical Multi-Task Federated Learning (AERO-HMTFL) framework for dynamic multi-hop clustered VANETs is proposed, which introduces a tri-weighted clustering metric that jointly considers vehicular mobility, shared-model similarity, and task affinity to produce mobility-stable, semantically aligned clusters.

G. S. M. I. M. Saeid HaghighiFard, Fellow Ieee Sinem Coleri, M. S. HaghighiFard · 0 citations