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Trust in AI Doctors: How Credibility and Message Richness in AI-Based Providers Influence Patient Adherence
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Investigation of Electronic Document Management System Usability across User Groups
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Toward Sustainable Environmental Intelligence: A Comprehensive Survey of Federated Learning Applications and Technical Challenges
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Bisimulation as a verification and validation technique for message sequence charts
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Effective, Explainable, and Trustworthy Client Selection in Federated Learning
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On providing an efficient and reliable virtual block storage service
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Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
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Federated Graph Attention Network for IoT Edge Anomaly Detection
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Timoshenko-EFEA model for tapered beams and its application
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Scalable prediction by partial match (PPM) and its application to route prediction
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A Federated Learning-Based Hybrid Architecture for Multi-Class Attack Detection in UAVs Communications
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Lightweight IDS Method for IoT Devices Traffic Monitoring Through Distilled Federated Knowledge on Decentralized Data
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Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction
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Privacy‐Preserving Federated Multimodal Deep Learning for Sepsis Prediction Using Vision Transformers and Secure Aggregation
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Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks
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RETRACTION: Computer-Visualized Sound Parameter Analysis Method and Its Application in Vocal Music Teaching
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lsA secure federated cloud storage protection through F-backend attribute based access and blockchain
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Energy-Efficient and Privacy-Preserving Intrusion Detection in Edge-Based Networks Using Federated Self-Supervised Learning
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S2D-FL: Sparsity-Guided and Trust-Aware Federated Learning for Joint Robustness and Privacy in IoT Edge Computing
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A Pilot mHealth Text Messaging Program Targeting Parents During the First 2000 Days: Nonrandomized Repeat Cross-Sectional Analysis to Evaluate Feasibility, Engagement, Acceptability, and Potential Effectiveness
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Spatio‐Temporal Modeling and Federated Learning‐Driven IoT Anomaly Detection: A Privacy‐Preserving Architecture for 6G Networks
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FLBEC: A Unified Framework Integrating Federated Learning, Blockchain, and Edge Computing for Privacy-Preserving Cybersecurity Governance in Next-Generation Networks
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 32, NO.1, JUNE 2025
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 31, NO.2, DECEMBER 2024
