federated learning

Optimization of federated learning protocols for enhanced collaboration in healthcare data analysis

Foundation Models and Vision-Language Models in Medical Imaging: A Review

Foundation models (FMs) and vision-language models (VLMs) have emerged as a transformative paradigm in artificial intelligence, reshaping the landscape of medical image analysis and clinical decision support. Building upon large-scale pretraining on heterogeneous datasets, these models exhibit unprecedented generalizat...

The Impact of Cyberworthiness on Corporate Organisations and Defence Organizations

The growth of interconnected digital systems and the Internet of Things (IoT) has enlarged the cyber-attack surface of modern corporate and defence organisations. In this setting, cyberworthiness denotes a system's capacity to operate securely, reliably, and continuously under adversarial conditions. This thesis treats...

Deep Learning and Artificial Intelligence: Conceptual Foundations of Pattern Recognition and Security Applications

The rapid growth of digital data and the increasing complexity of security threats have expanded the use of artificial intelligence, machine learning, and deep learning in modern security systems. This chapter presents the conceptual foundations of deep learning and pattern recognition and examines their roles in secur...

Health-aware federated contrastive representation learning for generalizable state-of-health estimation of lithium-ion batteries

Federated Learning and Transformer Model‐Based Hybrid AI Model for Predicting Crop Yields

Timely and efficient management of agricultural practices and subsequently predicting crop yields are fundamental elements in the quest to mitigate global food insecurity. Conventional sampling and secondary historical records, which are usually relied upon, tend to be inaccurate and inflexible to current trends. This...

Fed-SecureCvT: optimized federated learning with cryptographic protection and transformer-based intrusion detection for HER

Code and artifacts for: Auditing Explanation Faithfulness in Privacy-Preserving Federated Intrusion Detection

This archive accompanies the manuscript "Auditing Explanation Faithfulness in Privacy-Preserving Federated Intrusion Detection". It contains the source code, the seeded configuration of every run, per-run results, attribution tensors, model checkpoints, summary tables, figure code, supplementary tables and the append-o...

FedSwarm: An Ant-Colony Metaheuristic for Federated Aggregation Weights

Code, experiments, and paper materials for FedSwarm, which studies whether an ant-colony metaheuristic over the federated-learning aggregation weight vector improves on fixed and learned weighting for non-IID, multi-site brain-tumour MRI classification. See paper/00_ABSTRACT.md and HANDOVER.md in this repository for th...

Reproducibility Resources for Federated Learning-Based Maize Leaf Disease Recognition under Client Heterogeneity and Cross-Domain Variation

This dataset provides reproducibility resources for evaluating federated learning-based maize leaf disease classification under client heterogeneity and cross-domain variation. It supports experiments using an EfficientNet-B0 model trained centrally and through Federated Averaging (FedAvg) with different client data pa...

Agentic AI-driven human digital twins for personalized healthcare: a comprehensive survey

Abstract Human Digital Twins (HDTs) are an innovative concept in the field of personalized medicine, relying on real-time models of a human body formed via collection and analysis of physiological, clinical, behavioural, and environmental data. Research on HDTs gives evidence to a considerable promise in terms of disea...

Internet of Things-Based Physical Security Systems for Smart Cities in Saudi Arabia: A Vision 2030 Framework

The rapid digitalisation of cities in Saudi Arabia is leading to a greater number of connected cameras, access-control devices, environmental sensors, edge gateways and city platforms being used for the protection of people, buildings and critical infrastructure. While these systems can enhance situational awareness, t...