1 citations · 2 across the 9 of their papers we have counts for
9 papers
Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking
Ahmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck +2
Cooperative multi-task semantic communication (CMT-SemCom) improves task execution performance by leveraging shared representations. However, as we demonstrated in [1], cooperative…
Semantic-Aware Task Clustering for Federated Cooperative Multi-Task Semantic Communication
Ahmad Halimi Razlighi, Pallavi Dhingra, Edgar Beck +2
Task-oriented semantic communication (SemCom) prioritizes task execution over accurate symbol reconstruction and is well-suited to emerging intelligent applications. Cooperative mu…
Dynamic Downlink-Uplink Spectrum Sharing between Terrestrial and Non-Terrestrial Networks
Sourav Mukherjee, Bho Matthiesen, Armin Dekorsy +1
6G networks are expected to integrate low Earth orbit satellites to ensure global connectivity by extending coverage to underserved and remote regions. However, the deployment of d…
Resilient Radio Access Networks: AI and the Unknown Unknowns
Bho Matthiesen, Armin Dekorsy, Petar Popovski
5G networks offer exceptional reliability and availability, ensuring consistent performance and user satisfaction. Yet they might still fail when confronted with the unexpected. A…
6G Resilience -- White Paper
Hirley Alves, Nurul H. Mahmood, Onel L. A. López +36
6G must be designed to withstand, adapt to, and evolve amid prolonged, complex disruptions. Mobile networks' shift from efficiency-first to sustainability-aware has motivated this…
Sparse Incremental Aggregation in Satellite Federated Learning
Nasrin Razmi, Sourav Mukherjee, Bho Matthiesen +2
This paper studies Federated Learning (FL) in low Earth orbit (LEO) satellite constellations, where satellites are connected via intra-orbit inter-satellite links (ISLs) to their n…
Energy-Aware Federated Learning in Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Federated learning in satellite constellations, where the satellites collaboratively train a machine learning model, is a promising technology towards enabling globally connected i…
Sparse Incremental Aggregation in Multi-Hop Federated Learning
Sourav Mukherjee, Nasrin Razmi, Armin Dekorsy +2
This paper investigates federated learning (FL) in a multi-hop communication setup, such as in constellations with inter-satellite links. In this setup, part of the FL clients are…
Scheduling for On-Board Federated Learning with Satellite Clusters
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Mega-constellations of small satellites have evolved into a source of massive amount of valuable data. To manage this data efficiently, on-board federated learning (FL) enables sat…