Details

Start of the project: 01.02.2021

Title of the project: Decentralized Machine Learning Approaches for Toxicity Predictions

Research topic of the student:  The aim of the doctoral project is the establishment of novel paths for the creation of predictive models in the field of toxicity prediction. The results can address privacy and governance challenges and provide controlled, indirect access to large and comprehensive datasets for the development of ML & DL algorithms.