Federated Multi-Task Semantic Communication Applied to LEO Constellations

Betreuer: Ahmad Halimi Razlighi
Art der Arbeit: Masterarbeit (MSc)
Ausgabe: 05/2026
Bearbeiter: Pallavi Dhingra
Status: in Arbeit
Kurzfassung:

The thesis focuses on extending Federated Cooperative Multi-Task Semantic Communication (Federated-CMT-SemCom) for applications such as LEO Constellations. In particular, considering satellite communication scenarios, e.g., channel effects, noisy parameter updates, and real-world dataset use.

Requirements:

  • Background in machine learning/ deep learning

  • Experience with PyTorch

  • Interested in semantic communication, multi-task learning, and federated learning

  • Background in space engineering is a plus
Contact: halimi@ant.uni-bremen.de
Zuletzt aktualisiert am 16.05.2026 von A. Halimi Razlighi
AIT ieee GOC tzi ith Fachbereich 1
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