5 papers
Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
Giovanni Perin, Michele Rossi, Enrique Tomás Martínez Beltrán +13
As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and inter…
Joint Accuracy and Confidentiality in Semantic-Aware Secure Remote Reconstruction
Bowen Li, Nikolaos Pappas
In this paper, we consider remote reconstruction over wireless networks when simultaneous accuracy at the legitimate receiver and confidentiality against eavesdropping are required…
Toward Robust Semantic Communications: Proactive Importance-Ordered Restructuring for Enhanced Unequal Error Protection
Xunyang Zhan, Jie Cao, Xu Zhu +3
Semantic communications (SemCom) is a promising task-oriented paradigm in which semantic features exhibit non-uniform importance. Consequently, unequal error protection (UEP), whic…
Federated Learning Meets Random Access: Energy-Efficient Uplink Resource Allocation
Giovanni Perin, Eunjeong Jeong, Nikolaos Pappas
Artificial intelligence-generated traffic is changing the shape of wireless networks. Specifically, as the amount of data generated to train machine learning models is massive, net…
Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling
Eunjeong Jeong, Nikolaos Pappas
Federated learning (FL) is a powerful paradigm for distributed learning, but increasing model complexity leads to significant energy consumption from client-side computations for l…