Platform for Analytics and Distributed Machine Learning for Enterprises
PADME is a Distributed Analytics (DA) infrastructure that brings the algorithms to the data instead of vice versa. By following this paradigm shift, it proposes a solution for persistent privacy-related challenges. It is developed in compliance with Personal Health Train(PHT) approach. It provides a generic solution not limited to the health domain but any domain that need to analyze distributed data.
PHT is a novel approach, aiming to establish a distributed data analytics infrastructure enabling the (re)use of distributed healthcare data, while data owners stay in control of their data. The main principle of the PHT is that data remains in its original location, and analytical tasks visit data sources and execute the tasks. The PHT provides a distributed, flexible approach to use data in a network of participants, incorporating the FAIR principles.
Our study is part of German MII and GoFAIR initiatives.
Recent News
Our paper A Privacy-Preserving Distributed Analytics Platform for Health Care Data will be published in the Methods of Information in... Prof. Beyan attended a panel on Distributed Analytics at the Digital Health Europe Summit . During this panel, experts discussed... For the next 12 months, we are exploring the applicability of PADME in an other domain beyond healthcare. As part... We are happy to announce that we successfully linked our PADME ecosystem with the Station Registry from our partners in... Our paper Optimized Federated Learning on Class-biased Distributed Data Sources is accepted for presentation at the PDFL workshop 2021 in... Our paper DAMS: A Distributed Analytics Metadata Schema will be published in the Data Intelligence journal. Our paper Distributed Skin Lesion Analysis across Decentralised Data Sources has been accepted for MIE21. The growth of our infrastructure forced us to re-structure our central server. All services are now accessible via our new...Accepted paper for Methods of Information in Medicine journal
Prof. Beyan at Digital Health Europe Summit
Exploring new Domains
Station Registry online!
Accepted paper at PDFL workshop 2021
Accepted paper for Data Intelligence journal
Accepted Paper at MIE21
Re-deploy of PADME Central Service was successful