Author

Carlos T. Calafate

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#federated learning Open access Oct 2026

Federated Blockchain Learning to Support Root-Cause Analysis of Medical Incidents

Incident reports help health care organisations learn from patient harm, but they stay inside each institution, and their cause analysis is slow and manual. We present MIRR-FL, a consortium system in which smart contracts on a permissioned blockchain enforce each incident’s lifecycle, while a federated classifier gover...

Sara Zouad, Lazhar Khamer, Malika Rached-Kanouni et al. · Computers · 0 citations

#reinforcement learning Open access Oct 2026

Scalable Multi-UAV Target Assignment via Permutation-Invariant Reinforcement Learning and Conditional Control-Barrier-Function Safety Filtering

Coordinating multiple unmanned aerial vehicles (UAVs) to assign targets and generate collision-free trajectories in dynamic, obstacle-dense environments is a challenging problem with applications in search-and-rescue, surveillance, and precision agriculture. Existing deep reinforcement learning approaches for joint tar...

Mohammed Abdelhak Bidi, Younes Guellouma, Chaker Abdelaziz Kerrache et al. · Drones · 0 citations