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Author

M. Reis

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Open access Jul 2026

Robust Trust-Aware Federated Learning for Privacy-Preserving Distributed Intelligence in Resource-Constrained IoT Systems: A Blockchain-Assisted Architecture

This paper investigates a blockchain-assisted, trust-aware FL framework for privacy-aware distributed intelligence in resource-constrained IoT systems, where the blockchain layer is used to support trust coordination, auditability, traceability, and tamper-resistant metadata recording rather than to directly improve pr...

M. Reis, Carlos Serôdio, Frederico Branco · 0 citations
Open access Jul 2026

Scenario-Aware Federated Intrusion Detection for V2X-Inspired Edge Security: Calibration, Heterogeneity, and Communication Analysis

The findings support federated learning as a viable and communication-efficient direction for privacy-aware intrusion detection in distributed edge-security settings, while also highlighting the need for cautious interpretation, native V2X validation, and future robustness analysis against compromised federated clients...

M. Reis · 0 citations
Open access Jul 2026

A Simulation-Driven Trust-Aware Federated Learning Framework for Robust Intelligent IoT Networks

The experimental results demonstrate that the proposed Trust-FedAvg framework substantially improves robustness over conventional FedAvg and remains competitive with established robust aggregation strategies, particularly under directional model-manipulation attacks and intermittent-connectivity conditions.

M. Reis, Carlos Serôdio, Frederico Branco · 0 citations

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