federated learning

Evaluating Federated continual learning for heart failure risk prediction: a simulation study

This study evaluates federated continual learning for heart failure risk prediction under changing clinical data conditions. Using a simulated 12-month, five-site dataset, it compares attention-based continual learning with FedAvg, FedProx, linear, and replay-based approaches. The findings show that apparent benefits o...

Correctness Debt at the Execution Boundary: How Type-System Gaps, Semantic Ambiguity, Harness Lifecycle Debt, Format Divergence, and Verification Theater Jointly Define a Structural Deficit in Deployed Software Infrastructure

This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2607.07314, an unrelated federated-learning paper posted after this synthesis was drafted, for the quantum software debugging paper that notes quantum bugs "o...

Transforming Pharmacovigilance Through Artificial Intelligence: Current Trends and Future Perspectives

Pharmacovigilance plays a crucial role in detecting, assessing, understanding, and preventing adverse drug reactions throughout the life cycle of medicines. However, the increasing volume, complexity, and diversity of safety data have created significant limitations for conventional, mainly manual and reactive pharmaco...

Mostafa El-Rakhawi Doctrine in Cybernetic Law: Feedback Loops and Self-Evolving Legislation as a Framework for Adaptive Governance

The Mostafa El-Rakhawi Doctrine in Cybernetic Law redefines legislation as a dynamic, self-evolving control system. Moving beyond static statutes, it applies feedback loops, information theory, and real-time monitoring to ensure laws continuously adapt to societal, economic, and technological changes while maintaining...

THE UNIFIED COMPUTATIONAL JURISPRUDENTIAL SYSTEM FROM CRIMINAL PRINCIPLES TO INTEGRATED ECONOMIC-PHYSICAL-TECHNICAL MODELS

The Unified Computational Jurisprudential System (UCJS) establishes the definitive global standard for Computational Legal Science, bridging normative theory with empirical application through mathematically rigorous, culturally adaptive architecture. The system functions as a Justice Accelerator and Objective Calibrat...

Privacy-Preserving Federated Learning Across Heterogeneous Distributed Datasets: Quantum-Inspired Mechanisms, Explainable Classifiers and Multi-Domain Empirical Evidence

This paper addresses vulnerabilities in standard federated learning aggregation against gradient inversion attacks by evaluating three layered privacy-enhancing mechanisms: classical differential privacy (DP) noise injection, homomorphic encryption, and a novel quantum-inspired random unitary rotation of embedding vect...

Mostafa El-Rakhawi Doctrine in Cybernetic Law: Feedback Loops and Self-Evolving Legislation as a Framework for Adaptive Governance

The Mostafa El-Rakhawi Doctrine in Cybernetic Law redefines legislation as a dynamic, self-evolving control system. Moving beyond static statutes, it applies feedback loops, information theory, and real-time monitoring to ensure laws continuously adapt to societal, economic, and technological changes while maintaining...

Lightweight reinforcement learning for carbon-footprint reduction in advanced mobile networks: RLQ and federated RLQ for sustainable 5 G/6 G systems

Transforming Pharmacovigilance Through Artificial Intelligence: Current Trends and Future Perspectives

Pharmacovigilance plays a crucial role in detecting, assessing, understanding, and preventing adverse drug reactions throughout the life cycle of medicines. However, the increasing volume, complexity, and diversity of safety data have created significant limitations for conventional, mainly manual and reactive pharmaco...

THE UNIFIED COMPUTATIONAL JURISPRUDENTIAL SYSTEM FROM CRIMINAL PRINCIPLES TO INTEGRATED ECONOMIC-PHYSICAL-TECHNICAL MODELS

The Unified Computational Jurisprudential System (UCJS) establishes the definitive global standard for Computational Legal Science, bridging normative theory with empirical application through mathematically rigorous, culturally adaptive architecture. The system functions as a Justice Accelerator and Objective Calibrat...

Beyond Diagnostic Accuracy: Calibration and Predictive Uncertainty of Artificial Intelligence Models for Oral and Dental Disease Diagnosis

A Systematic Review Protocol “Beyond Diagnostic Accuracy: Calibration and Predictive Uncertainty of Artificial Intelligence Models for Oral and Dental Disease Diagnosis” Title of the ReviewBeyond Diagnostic Accuracy: Calibration and Predictive Uncertainty of Artificial Intelligence Models for Oral and Dental Disease Di...

Participation-Aware Search-Based Joint Client Selection and Adaptive Aggregation for Federated Learning

Federated learning is affected by differences in client data, behavior, and resource requirements. This paper develops and evaluates a search-based, client-participation-aware strategy for federated client selection and adaptive aggregation. It uses a genetic-search procedure with a multi-criteria objective. To avoid u...