Articles 4
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Federated Learning with Differential Privacy for Secure Multi-Institutional Healthcare Data Sharing
Sharing patient data across hospitals is essential for training robust clinical prediction models, yet privacy regulations and institutional barriers prevent centralized data aggregation. We present FedHealth-DP, a... -
Multi-Agent Reinforcement Learning for Autonomous Drone Swarm Coordination in Dynamic Environments
Coordinated drone swarms enable applications from disaster response to precision agriculture, but scaling coordination to hundreds of agents in dynamic, GPS-denied environments remains unsolved. We propose SwarmMARL,... -
Multimodal Large Language Models for Scientific Document Understanding and Structured Knowledge Extraction
Scientific literature contains rich knowledge in text, figures, tables, and equations, yet existing information extraction systems process these modalities in isolation. We introduce SciMMLLM, a multimodal large... -
Hardware-Aware Neural Architecture Search with Latency Constraints for Edge AI Deployment
Deploying deep learning models on edge devices requires architectures that balance accuracy with strict latency, memory, and power constraints — a combinatorial design space that manual engineering cannot efficiently...
Review Articles 1
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Explainable AI Frameworks for Credit Risk Assessment in Financial Technology Applications
Machine learning models for credit scoring achieve superior predictive accuracy over traditional logistic regression, but their black-box nature creates regulatory barriers under GDPR's right to explanation, fair...