no code implementations • 26 Oct 2023 • Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek
Future wireless communication networks are in a position to move beyond data-centric, device-oriented connectivity and offer intelligent, immersive experiences based on task-oriented connections, especially in the context of the thriving development of pre-trained foundation models (PFM) and the evolving vision of 6G native artificial intelligence (AI).
no code implementations • 14 Apr 2021 • Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
We advocate a new resource allocation framework, which we term resource rationing, for wireless federated learning (FL).
no code implementations • 7 Dec 2020 • Sihui Zheng, Cong Shen, Xiang Chen
Comprehensive numerical evaluation on various real-world datasets reveals that the benefit of a FL-tailored uplink and downlink communication design is enormous - a carefully designed quantization and transmission achieves more than 98% of the floating-point baseline accuracy with fewer than 10% of the baseline bandwidth, for majority of the experiments on both i. i. d.