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Author

P. B. Velloso

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Conference Aug 2026

Evaluation of Label-Flipping Attacks on Federated Anomaly Detection in xG Networks

Federated learning (FL)-based anomaly detection in next-generation (xG) networks is highly vulnerable to data poisoning, yet the impact of poisoning on model behaviour and decision structure remains poorly characterised. In this work, we present a system-level evaluation of label-flipping attacks across 306 configurati...

Salah Bin Ruba, P. B. Velloso, Pengwenlong Gu · 0 citations
Preprint Aug 2026

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

This paper proposes LEED (Local Embedding Evolution Distance), a novel local metric that quantifies over-smoothing by tracking the evolution of individual node embeddings across layers, and uses LEED as a unique criterion to guide the construction of Local Virtual Nodes to mitigate over-squashing.

Killian Cressant, P. B. Velloso · 0 citations

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