Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science

What to expect

The Advanced Information Processing Group aims at applying state-of-the-art theoretical results into real-world applications within information processing systems. The expertise of the group ranges from quantum error correction to Smart Data Management, exploring cutting-edge communication theories such as semantic communication and Age of Information, pushing the boundaries of data utilization and dissemination.

Your tasks

Investigate, by means of simulation, the design and optimization of medium access strategies to efficiently support federated learning for Internet of things applications. The possibility for clients to have heterogeneous or time-varying data-sets will be considered, studying the relevance of concepts related to information freshness and value towards prioritization of uplink transmissions for model updates.

Your profile

• Good knowledge of federated learning principles
• Previous experience in implementing and testing ML/FL algorithms
• Good programming skills are beneficial
• General knowledge of information freshness related concepts