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Author

Saqib Qamar

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#federated learning Open access Oct 2026

ATLAS: an adaptive threat learning and analysis system using heterogeneous federated deep learning and FedNova aggregation for multi-cloud environments

The proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...

Shakir Khan, Arvind Panwar, Achin Jain et al. · 0 citations
Open access Sep 2026

MST-former: multiparty shared representation enabled transformer for secure medical image analysis

Privacy-preserving collaborative medical image analysis across multiple healthcare institutions remains challenging due to data heterogeneity, patient privacy constraints, and incomplete cross-institutional record alignment. To address these limitations, this paper proposes MST-Former, a multiparty shared transformer...

Shakir Khan, Thamer Alshammari, Fahad Omar Alomary et al. · 0 citations
Open access Aug 2026

Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment

This study presents YOLO26s, a lightweight DL model for multi-class pavement crack detection across diverse environmental and geographic conditions, and highlights the potential of efficient AI-driven inspection systems to enhance environmental and economic sustainability in civil infrastructure.

S. Abbas, Md. Najmul Islam Shawon, Saqib Qamar et al. · 0 citations

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