Computer Science
[Open]
Work description
- Generalization of the federated machine learning framework to various types of algorithms (not exclusively neural architectures) - Dealing with horizontally- and vertically-partitioned data - Investigation of privacy-preserving techniques and explainable methods - Energy optimization of distributed algorithms in multiple use cases - Publication of at least 3 scientific papers during the fellowship period - Submission of PhD Thesis
Academic Qualifications
Msc in Computer Science/Engineering, Computational Statistics or similar area
Minimum profile required
Master thesis or dissertation on machine learning
Preference factors
Msc thesis or dissertation and/or published papers on topics included in the work plan
Application Period
Since 05 Aug 2020 to 07 Sep 2020
[Open]
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support