Výsledky vyhledávání - "Zhong, Chenxi"

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Over-the-Air Federated Learning Over MIMO Channels: A Sparse-Coded Multiplexing Approach

The communication bottleneck of over-the-air federated learning (OA-FL) lies in uploading the gradients of local learning models. In this paper, we study the reduction of the communication overhead in the gradients uploading by using the multiple-inp

Externí odkaz: http://arxiv.org/abs/2304.04402

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UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning

Autor: Zhong, Xiangyu, Yuan, Xiaojun, Yang, Huiyuan, Zhong, Chenxi

With huge amounts of data explosively increasing in the mobile edge, over-the-air federated learning (OA-FL) emerges as a promising technique to reduce communication costs and privacy leak risks. However, when devices in a relatively large area coope

Externí odkaz: http://arxiv.org/abs/2209.11624

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Akademický článek

NSDHL promotes the degradation of sting in cholangiocarcinoma

Autor: Yu, Weihua, Chen, Jionghuang, Tong, Yifan, Zhu, Linghua, Deng, Yuezheng, He, Junju, Zhong, Chenxi, Cai, Xiujun

Publikováno v: In Heliyon 15 September 2024 10(17)

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Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels

Autor: Zhong, Chenxi, Yang, Huiyuan, Yuan, Xiaojun

With the explosive growth of data and wireless devices, federated learning (FL) over wireless medium has emerged as a promising technology for large-scale distributed intelligent systems. Yet, the urgent demand for ubiquitous intelligence will genera

Externí odkaz: http://arxiv.org/abs/2112.13603

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