federated learning

Privacy-Preserving Fraud Intelligence for Kenya's Account-to-Account Payment Ecosystem

This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...

Privacy-Preserving Fraud Intelligence for Kenya's Account-to-Account Payment Ecosystem

This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...

PP-FEO: Privacy-Preserving Federated Ensemble Optimization for Intrusion Detection

This repository contains the source code and reproducibility materials associated with the Privacy-Preserving Federated Ensemble Optimization (PP-FEO) framework for intrusion detection in distributed Cyber-Physical System (CPS) environments. The implementation includes data preprocessing and feature harmonization, the...

PP-FEO: Privacy-Preserving Federated Ensemble Optimization for Intrusion Detection

This repository contains the source code and reproducibility materials associated with the Privacy-Preserving Federated Ensemble Optimization (PP-FEO) framework for intrusion detection in distributed Cyber-Physical System (CPS) environments. The implementation includes data preprocessing and feature harmonization, the...

Energy Efficient Federated Graph Reinforcement Learning and Digital Twin Assisted Demand Response for Blockchain-Enabled Self-Healing Smart Grids

A novel federated graph reinforcement learning-based digital twin predictive intelligence, blockchain trust management, and adaptive self-healing control integrated framework called Energy Efficient Federated Digital Twin Framework (EEFDTF) for Blockchain-Enabled Self-Healing Smart Grids to overcome challenges.

AI-driven property prediction and design optimisation of composite materials: A review

This review examines the transformative impact of artificial intelligence (AI) and machine learning on composite materials design, property prediction, and optimisation and provides a structured classification of AI/ML techniques in composite materials.

Research on Privacy Protection and Secure Sharing Mechanism in Big Data Transaction Circulation Based on Improved Federated Learning Algorithm

With the rapid development of the data element market, big data transaction circulation has put forward higher requirements for cross-domain collaborative modeling and privacy protection. Existing methods can reduce the exposure of raw data, but still have shortcomings in non-independent and identically distributed dat...

HAPV-FEL Transaction Risk Detection Data for IBM AML and SAML-D

This dataset package is associated with the study “HAPV-FEL: Historical Consensus Verification and Recoverable Trust for Privacy-Preserving Federated Transaction Risk Detection.” It contains structured CSV representations corresponding to the IBM AML and SAML-D datasets used for cross-institutional transaction risk det...

Digital Twins and Intelligent Manufacturing for Breast Cancer Devices

This chapter surveys how digital twins (DTs) and intelligent manufacturing are reshaping the lifecycle of breast-cancer medical devices through Internet of Things (IoT)-driven data flows. We review architectures that link design, production, clinical use, and post-market surveillance via a “digital thread,” enabling co...

Risk Calibrated Conformal Safe Output Control Against Backdoor Attacks in Vertical Federated Learning

Reproducibility package for C-ProVFL, a selective safe-output controller for backdoor attacks in vertical federated learning. The archive contains source notebooks, the immutable submitted-configuration manifest, corrected split and attack manifests, frozen-policy records, row-level results for 768 configurations, matc...

Design of Federated Learning and XGBoost Collaborative Framework for Privacy-Preserving Training of Cross-Building Energy Consumption Models

On-Device Privacy and Zero-Knowledge Storage in Mobile Applications: A Review with Attention to Cross-Platform React Native Development

This review synthesizes the research literature relevant to building such applications, with specific attention to the cross-platform reality in which much of the mobile ecosystem, prominently React Native applications, is actually built, and identifies directions for research and practice.