Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Djuhera, Aladin"'
Autor:
Djuhera, Aladin, Andrei, Vlad C., Li, Xinyang, Mönich, Ullrich J., Boche, Holger, Saad, Walid
Split federated learning (SFL) is a compute-efficient paradigm in distributed machine learning (ML), where components of large ML models are outsourced to remote servers. A significant challenge in SFL, particularly when deployed over wireless channe
Externí odkaz:
http://arxiv.org/abs/2407.11654
Autor:
Andrei, Vlad C., Djuhera, Aladin, Li, Xinyang, Mönich, Ullrich J., Boche, Holger, Saad, Walid
Native jamming mitigation is essential for addressing security and resilience in future 6G wireless networks. In this paper a resilient-by-design framework for effective anti-jamming in MIMO-OFDM wireless communications is introduced. A novel approac
Externí odkaz:
http://arxiv.org/abs/2404.10598
This manuscript investigates the information-theoretic limits of integrated sensing and communications (ISAC), aiming for simultaneous reliable communication and precise channel state estimation. We model such a system with a state-dependent discrete
Externí odkaz:
http://arxiv.org/abs/2402.17058