5 papers
Decentralized Federated Learning by Partial Message Exchange
Shan Sha, Shenglong Zhou, Xin Wang +2
Decentralized federated learning (DFL) has emerged as a transformative server-free paradigm that enables collaborative learning over large-scale heterogeneous networks. However, it…
Enabling High Error Tolerance in Satellite Video Transmissions by Generative Semantic Communication
Zixin Zhao, Jingzhi Hu, Geoffrey Ye Li
Low Earth orbit (LEO) satellite relays will significantly extend the coverage of mobile networks, enabling users in remote areas to transmit data of real-time events. Nevertheless,…
Token Encoding for Semantic Recovery
Jingzhi Hu, Geoffrey Ye Li
Token-based semantic communication is promising for future wireless networks, as it can compact semantic tokens under very limited channel capacity. However, harsh wireless channel…
Distillation-Enabled Knowledge Alignment for Generative Semantic Communications of AIGC Images
Jingzhi Hu, Geoffrey Ye Li
Due to the surging amount of AI-generated images, its provisioning to edges and mobile users from the cloud incurs substantial traffic on networks. Generative semantic communicatio…
Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks
Jingzhi Hu, Geoffrey Ye Li
Future communication networks are expected to connect massive distributed artificial intelligence (AI). Exploiting aligned priori knowledge of AI pairs, it is promising to convert…