federated learning

Beyond accuracy in crop classification: calibration, selective prediction, and robustness

Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...

Scalable Real-Time Data Pipelines for AI and Machine Learning–Driven Enterprise Systems

The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...

SAVANT FRAMEWORK: Defensive Publication v5.0 — Comprehensive Prior Art Establishment for 14 Patent Families

This defensive publication establishes timestamped, citable prior art for fourteen patent families of the SAVANT FRAMEWORK ecosystem: AEGIS-P1–P8 (sovereign LoRa mesh architecture, passive child-safety beacon, vehicle-mounted hostile detection, multi-sensor threat fusion, adaptive anti-jam frequency hopping, sentinel m...

Security and Privacy for Connected Systems: A Layered Review of Cryptography, Intrusion Detection and Privacy-Preserving Learning in IoT, Cloud and Mobile Networks

Connected systems now carry medical readings, financial records and personal data across sensors, mobile networks and cloud servers. Each layer of such a system faces different threats. Small IoT devices cannot run heavy encryption, ad hoc networks change their topology all the time, cloud stores hold large volumes of...

FED-XID: a novel federated learning based architecture for distributed anomaly detection in smart grids

Federated Deep Learning for Privacy-Preserving Data Fusion in Sustainable AI-Driven Healthcare Systems

Integrating Artificial Intelligence and Multicenter Real-World Evidence to Advance Precision Dosing: A Critical Perspective Review.

BACKGROUND Precision dosing integrates patient-specific factors to optimize pharmacotherapy. However, current evidence often relies on limited single-center studies, restricting generalizability. METHODS A narrative review of literature on real-world evidence, pharmacogenetics, biomarkers, artificial intelligence (AI...

Secure Design Principles for AI-Driven Learning Platforms

Artificial intelligence is increasingly integrated into educational tools such as learning management systems, analytics dashboards, adaptive assessment services, and generative AI assistants. These platforms support personalized learning and institutional decision-making, but they create risks linked to digital identi...

Federated Learning and Edge Computing in Advanced Communications

QoS-Aware Secure Federated Intelligence for Biomedical Electronics and Medical Informatics in Wireless Health Monitoring Networks

Wireless Health Monitoring Networks (WHMNs) that utilize Biomedical Electronics (BMEs) are rapidly changing how medical information is gathered and used in contemporary Medical Informatics through providing ongoing, real-time, and remote assessment and monitoring of essential physiological parameters; including electro...

ADVANCES IN AI-BASED PERSONALIZED HEALTHCARE

Artificial intelligence (AI) is increasingly changing the way healthcare is delivered by supporting a more personalized and patient-centered approach to medicine. Personalized medicine combines information such as genetics, genomics, medical history, lifestyle, laboratory results, medical images, and continuous health...