Distributed Systems
Work description
Considering the context of federated processing of data from different sources, the following activities are defined: - exploring federated learning mechanisms; - explore data privacy in these environments; - design and implement a federated learning prototype for images; - write a dissertation in the context of the work carried out.
Academic Qualifications
Enrolled in a Masters Degree in Informatics Engineering or Biomedical Engineering.
Minimum profile required
- In-depth knowledge of federated learning mechanisms;- Knowledge of the use of federated learning tools such as NVIDIA Flare;- In-depth knowledge of deep learning tools (PyTorch or Tensorflow.
Preference factors
- Knowledge of distributed systems; - Knowledge of deep learning.
Application Period
Since 02 May 2025 to 15 May 2025
Centre
High-Assurance Software