Zobrazeno 1 - 10
of 430
pro vyhledávání: '"FAN Dian"'
Autor:
Ma, Rui, Luo, Ke Hai, Wang, Zhao, He, Jing Song, Zhang, Wei Li, Fan, Dian Yuan, Gomes, Anderson S. L., Liu, Jun
Characterizing the orbital angular momentum (OAM) of a vortex beam is critically important for OAM-encoded data transfer. However, in typical OAM-based applications where vortex beams transmit through diffusers, the accompanying scattering effect ten
Externí odkaz:
http://arxiv.org/abs/2310.17839
To achieve communication-efficient federated multitask learning (FMTL), we propose an over-the-air FMTL (OAFMTL) framework, where multiple learning tasks deployed on edge devices share a non-orthogonal fading channel under the coordination of an edge
Externí odkaz:
http://arxiv.org/abs/2205.03810
Publikováno v:
In Journal of Analytical and Applied Pyrolysis September 2024 182
Publikováno v:
In Geoenergy Science and Engineering January 2025 244
Autor:
Huang, Ke, Huang, Siyuan, Zhou, Ying, Jiang, Qi, Liu, Jiangling, Wang, Zhongyuan, Gates, Ian D., Fan, Dian, Li, Kuncheng
Publikováno v:
In Geoenergy Science and Engineering December 2024 243
Autor:
Huang, Ke, Huang, Siyuan, Jiang, Qi, Gates, Ian D., Fan, Dian, Zhao, Hongyu, Wang, Hongyuan, Wang, Guodong
Publikováno v:
In Geoenergy Science and Engineering December 2024 243
Autor:
Fan, Dian, Chen, Shaoqing
Publikováno v:
In Applied Energy 1 December 2024 375
In this letter, we introduce over-the-air computation into the communication design of federated multi-task learning (FMTL), and propose an over-the-air federated multi-task learning (OA-FMTL) framework, where multiple learning tasks deployed on edge
Externí odkaz:
http://arxiv.org/abs/2106.14229
Autor:
Cui, Yongzheng, Fan, Dian, Guo, Huiyong, Gan, Weibing, Zhou, Ai, Yang, Minghong, Tang, Jianguan, Zhang, Changfeng, Pan, Huaye
Publikováno v:
In Optical Fiber Technology March 2024 83
In this paper, we investigate over-the-air model aggregation in a federated edge learning (FEEL) system. We introduce a Markovian probability model to characterize the intrinsic temporal structure of the model aggregation series. With this temporal p
Externí odkaz:
http://arxiv.org/abs/2103.02270