Author

Anis Laouiti

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Open access Jul 2026

Privacy Preserving using Decentralized Federated Learning with Partial Dense-layer Weight Sharing

Empirical findings indicate that DFL-PHS, in many configurations, competes with or outperforms CFL, attaining F1-scores of 0.965 and recall rates surpassing 0.98, even under minimal weight-sharing conditions.

Reem Nabha, Anis Laouiti, A. Samhat · International Journal of Inf... · 0 citations

Review Jul 2026

Privacy-preserving AI in healthcare: a comprehensive survey of techniques and challenges

This study aims to guide researchers and practitioners in designing secure, efficient, and privacy-preserving AI systems for healthcare by proposing a structured classification of privacy-preserving methods into four main categories: cryptographic approaches, decentralized learning methods, perturbation-based techniques, and hybrid models.

Chaima Bejaoui, Mohamed Hadded, Hakim Ghazzai et al. · Cluster Computing · 0 citations