DeepSwarm:towards swarm deep learning with bi-directional optimization of data acquisition and processing  

作　　者：Sicong LIU Bin GUO Ziqi WANG Lehao WANG Zimu ZHOU Xiaochen LI Zhiwen YU 

机构地区：[1]School of Computer Science and Engineering,Northwestern Polytechnical University,Xi’an 710072,China [2]School of Data Science,City University of Hong Kong,Hong Kong 999077,China [3]College Of Computer Science And Technology,Harbin Engineering University,Harbin 150001,China

出　　处：《Frontiers of Computer Science》2025年第3期125-127,共3页计算机科学前沿(英文版)

基　　金：supported by the National Science Fund for Distinguished Young Scholars(62025205);the National Natural Science Foundation of China(Grant Nos.62032020,62102317);CityU APRC Grant(9610633).

摘　　要：1 Introduction On-device deep learning(DL)on mobile and embedded IoT devices drives various applications[1]like robotics image recognition[2]and drone swarm classification[3].Efficient local data processing preserves privacy,enhances responsiveness,and saves bandwidth.However,current ondevice DL relies on predefined patterns,leading to accuracy and efficiency bottlenecks.It is difficult to provide feedback on data processing performance during the data acquisition stage,as processing typically occurs after data acquisition.

关 键 词：drone swarm classification efficient local data processing data processing deep learning dl device deep learning bi directional optimization iot devices swarm deep learning 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]