federated learning

PoSFed: stake-aware validator selection and update filtering for blockchain-coordinated healthcare federated learning

THE EL-RAKHAWI GRAND THEORY OF REGENERATIVE CYBERNETIC INFRASTRUCTURE AND SOVEREIGN COMPUTING From Isolated Algorithms to a Harmonious Planetary Nervous System A Groundbreaking Theoretical Framework Unifying Artificial Intelligence, Bio-Digital Convergence, Distributed Systems, Cryptographic Sovereignty, Software Architecture, and Human-Centric IT Governance to Transform Information Technology from Fragmented Technical Disciplines into an Integrated Planetary Nervous Sy

The El-Rakhawi Grand Theory of Regenerative Cybernetic Infrastructure and Sovereign Computing (DOI: 10.5281/zenodo.23232575) reimagines Information Technology as a **decentralized, edge-intelligent planetary nervous system** operating in cybernetic harmony with human dignity and ecological boundaries. Built on six pill...

Cybersecurity and Privacy in AI-Enabled Wearable Textile Systems

Artificial Intelligence has emerged as a pivotal advancement in textile systems, integrating intelligent sensing, wearable computing, IoT, and machine learning applications on smart fabrics for real-time monitoring of object behavior through predictive analytics. The primary areas of application identified in the inves...

THE EL-RAKHAWI THEORY OF HARMONIOUS ALGORITHMIC JURISPRUDENCE AND SOVEREIGN LEGAL GOVERNANCE Bridging Japanese Precision with Mathematical Certainty in the Generative AI Era

The El-Rakhawi Theory of Harmonious Algorithmic Jurisprudence and Sovereign Legal Governance (DOI: 10.5281/zenodo.23239861) bridges Japanese legal AI precision with mathematical certainty, transforming algorithmic jurisprudence from probabilistic simulation into a verifiable cognitive infrastructure. Built on five pill...

Flexible and Stretchable Electronics for E-Textiles

The evolution of flexible and stretchable electronics has reshaped traditional textiles into intelligent wearable devices that have benefits such as sensing, communicating, computing, and making decisions in real-time. Currently, e-textile technologies are still disparate, lacking integration of the smart features of e...

Artificial Intelligence in Cloud Computing: A Systematic Literature Review of Applications, Challenges, and Future Directions

The integration of Artificial Intelligence (AI) with cloud computing has emerged as an important research area for developing scalable, intelligent, and automated computing environments. Cloud computing provides on-demand access to computing resources, storage, networking, and software services, while AI and Machine Le...

appunuarni1975-spec/FedIoMT-RPM: FedIoMT-RPM v3.1: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification

Code and results for the revised manuscript "Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification" (Scientific Reports, second revision). Changes since v3.0: All methods re-run with seeds 0 to 5 (previously 0 to 2) under the inter-patient DS1/DS2 protocol of the MIT-BIH Ar...

Federated and Distributed Learning for Secure and Explainable Cyber Defense

This chapter examines federated and distributed learning as a foundation for secure, explainable cyber defense. Centralized AI models create privacy risks, single points of failure, and opaque decisions that resist interpretation. The authors combine federated learning with explainable AI techniques, including SHAP, LI...

ARTIFICIAL INTELLIGENCE IN FINANCIAL STATEMENT FRAUD DETECTION: A CRITICAL SYNTHESIS OF EMERGING TRENDS, METHODOLOGIES, AND FUTURE DIRECTIONS FOR U.S. PUBLICLY TRADED COMPANIES

Financial statement fraud causes systemic damage to U.S. capital markets, investor confidence, and the credibility of public company disclosures. Artificial intelligence (AI) offers promising new detection capabilities, yet its evidence base and operational readiness remain unevenly developed across the literature. Thi...

FFT-GA-BC: a fused federated transformer genetic algorithm framework with blockchain-secured, differentially private, homomorphically encrypted aggregation for mutation, phenotype, and binary-allele analysis

Federated learning enables cross-institutional clinical-genetics analytics without sharing raw patient data; yet, no existing framework integrates the full cryptographic stack–differential privacy, homomorphic encryption, and blockchain auditing—required for regulatory deployment. Here, we present FFT-GA-BC, a secure-b...

A Study on Trustworthy Aggregation Mechanisms for Blockchain-Based Federated Learning

To investigate how blockchain technology can improve the reliability, speed and legality of federated learning, this paper concentrates on the process of model combination in federated learning. By dealing with the problems of single vulnerable points and insufficient trust in centralized combination, the paper compreh...

CONCRETE, SCIENTIFIC AND INTEGRATIVE EDUCATION

CONCRETE, SCIENTIFIC AND INTEGRATIVE EDUCATIONA Proposal for Reorganizing Learning Based on Reality, Investigation, Demonstration, Science, Territory, and the Integration of Knowledge Author: Cláudio Vicente da SilvaLocation: Londrina, Paraná, BrazilDate: October 8, 2026 DESCRIPTION This work presents a proposal for th...