4 papers
Decentralized Federated Learning with Distributed Aggregation Weight Optimization
Zhiyuan Zhai, Xiaojun Yuan, Xin Wang +1
Decentralized federated learning (DFL) is an emerging paradigm to enable edge devices collaboratively training a learning model using a device-to-device (D2D) communication manner…
Low-Complexity Multi-Target Detection in ELAA ISAC
Diluka Galappaththige, Shayan Zargari, Chintha Tellambura +1
Multi-target detection and communication with extremely large-scale antenna arrays (ELAAs) operating at high frequencies necessitate generating multiple beams. However, conventiona…
Optimization of Rate-Splitting Multiple Access with Integrated Sensing and Backscatter Communication
Diluka Galappaththige, Shayan Zargari, Chintha Tellambura +1
An integrated sensing and backscatter communication (ISABC) system is introduced herein. This system features a full-duplex (FD) base station (BS) that seamlessly merges sensing wi…
Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach
Yukun Cheng, Wei Chen, Tianwei Hou +2
Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size a…