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Haghighi Fard

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Articles

Computer Science > Machine Learning

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By Haghighi Fard, M. Saeid, Sinem Coleri
| arXiv
Most federated learning frameworks for vehicular ad hoc networks assume that all vehicles collaboratively train a single model for a common task. This assumption limits their applicability to practical vehicular environments, where vehicles may perform heterogeneous but related perception tasks with different output spaces.
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[2505.01186] Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks

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By Haghighi Fard, M. Saeid
| arXiv
[Submitted on 2 May 2025] Title:Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks View a PDF of the paper titled Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks, by M.
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[2405.17497] Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection

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By Haghighi Fard, M. Saeid
| arXiv
[Submitted on 25 May 2024] Title:Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection View a PDF of the paper titled Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection, by M.
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