Trustworthy AI, tooling up the methods: register for the upcoming TRUMPET Exchange Talks
A new opportunity to get inside the topic of TRUMPET project, gaining useful insight for Federated Learning application in healthcare. On December, 4th, Dr. Zakaria Chihani, from CEA will held a seminar titled ” Trustworthy AI, tooling up the methods”. REGISTER TO THE WEBINAR AI model: ensuring trustworthiness is a focal point In the ever-evolving […]
From cryptography over statistics and medicine: the need for multi-disciplinary collaboration
Over many centuries, medical science has accumulated a vast and profound knowledge of the human body and how treatments can heal diseases. However, some biological processes are too complex to fully understand, describe in a text book or study manually. Moreover, each patient is different, e.g., because he has different genes, lives in a different […]
TRUMPET exchange Talks: workshop on GDPR
TRUMPET exchange Talks: workshop on GDPR In today’s digital age, data protection and privacy are paramount, especially in the field of healthcare research. To shed light on this critical topic, we invite you to join our upcoming virtual workshop: “Workshop on GDPR for Ensuring Health Data Privacy in Research.” Understanding GDPR in healthcare The General […]
Differential privacy in Federated Learning: balancing privacy and utility
In recent years, the use of Artificial Intelligence (AI) has seen a significant surge in everyday applications. Part of this technology relies on Machine Learning algorithms that gather data to train analytical and AI models. However, in many instances, this data is stored in different repositories with certain limitations on data sharing. To address this, […]
Uses and application of Privacy Enhancing Technologies
Privacy Enhancing Technologies, also known as PETs, encompass a diverse range of tools aimed at maximizing the protection of individuals’ privacy. According to the European Union Agency for Cybersecurity (ENISA), PETs are defined as[1] “software and hardware solutions, i.e. systems encompassing technical processes, methods or knowledge to achieve specific privacy or data protection functionality or […]
Federated learning in healthcare
In today’s digital age, the use of Electronic Health Records (EHRs) has become increasingly important for healthcare providers and patients. EHRs allow for the seamless sharing of patient information among healthcare providers, which is vital for ensuring that patients receive the best possible care. However, the implementation of EHRs has proven to be a challenging […]
TRUMPET project hosts successful crosstalk event in Brussels
On March 28th, the TRUMPET project organized a highly successful event at the IRST International Office in Brussels. The event, called Crosstalk between funded European projects, brought together a range of projects involved in promoting innovation and research in the healthcare field. The European funded projects involved in the crosstalk The event was aimed at […]
TRUMPET project joins six others for Crosstalk event in Brussels
A major event is set to take place in Brussels on the 29th of this month, as seven European projects funded by the EU will come together for a Crosstalk event. Also TRUMPET project will take part. Indeed, the project is directly involved in the organization of the event with our dissemination manager, Dr.Francesco Ghini. […]
Federated learning: a useful tool for privacy-preserving machine learning
Federated learning is a powerful tool for privacy-preserving machine learning. The traditional approach to machine learning involves collecting data from a large number of sources and centralizing it in a single repository. However, this approach can raise privacy concerns, as the sensitive data used to train the models is stored and processed by a third-party. […]
