federated learning

A Bibliometric Study of the Emerging Trends in Blockchain Research

The analysis shows that topics associated with earlier blockchain infrastructure, such as distributed ledgers, proof of work, and cryptocurrencies, have become less prominent, while topics such as federated learning, differential privacy, and zero-knowledge proofs have gained increasing attention.

Federated PPO: Federated Proximal Policy Optimization for Multi-Robot Collision Avoidance

vantage6

Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey. Vantage6 is complete...

Uncertainty-Aware Dynamic Federated Vision Transformer for Skin Cancer Detection in Healthcare Environments

Initial public release of DynamicFedSkinCancerDetection. This release provides the implementation of the proposed Uncertainty-Aware Dynamic Federated Vision Transformer with Uncertainty-Guided Aggregation for skin cancer classification in a simulated federated learning environment. The implementation includes preproces...

Selecting AI Solutions for Managing False Information During Disasters: A Prescriptive Recommendation Framework

Social media has become an essential communication tool during disaster situations. Unfortunately, it is also used to spread false information very rapidly. This includes rumors, outdated or misleading information, doctored images, and fake news stories. These can undermine and disrupt public trust and emergency respon...

vantage6

Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey. Vantage6 is complete...

vantage6

Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey. Vantage6 is complete...

A Review of Trust-Aware Explainable Federated Multimodal Learning for Early Cardiovascular Disease Prediction

Cardiovascular disease (CVD) is the largest cause of death worldwide, and artificial intelligence can now detect it earlier than traditional methods. The difficulty is that the data needed to train a reliable model is held separately by individual hospitals and is protected by privacy law. Federated learning (FL) answe...

Federated learning in a regulator-audited secure processing environment: a multi-hospital deployment study

Background. Federated learning enables collaborative model development without transferring patient level data between institutions. However, translation into routine healthcare practice remains limited because deployment requires more than distributed model training. Federated infrastructures must operate within secur...

vantage6

Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey. Vantage6 is complete...

Federated Generative AI for Privacy-Preserving Large-Scale Model Training at the Edge

A Review of Trust-Aware Explainable Federated Multimodal Learning for Early Cardiovascular Disease Prediction

Cardiovascular disease (CVD) is the largest cause of death worldwide, and artificial intelligence can now detect it earlier than traditional methods. The difficulty is that the data needed to train a reliable model is held separately by individual hospitals and is protected by privacy law. Federated learning (FL) answe...