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1Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system
Author(s):Pei-qiu Huang, Yong Wang, Ke-zhi Wang  Clicked:6632  Download:4684  Cited:0  <Full Text>  <PPT> 1670
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1713-1725  DOI:10.1631/FITEE.2000315
2A survey of energy-efficient strategies for federated learning in mobile edge computing
Author(s):Kang YAN, Nina SHU, Tao WU, Chunsheng LIU, Panlong YANG  Clicked:2392  Download:1572  Cited:0  <Full Text>  <PPT> 380
Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.5 P.645-663  DOI:10.1631/FITEE.2300181
3Federated deep reinforcement learning-based computation offloading in a LEOsatellite edge computing system
Author(s):Min JIA, Jian WU, Xinyu WANG, Qing GUO  Clicked:346  Download:450  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  In Press    DOI:
4A UAV-enabled mobile edge computing paradigm for dependent tasks based on a computing power pool
Author(s):Xuebin LAI, Yan GUO, Ming HE, Hao YUAN, Wei LI, Xiaonan CUI  Clicked:220  Download:207  Cited:0  <Full Text>  <PPT> 15
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.4 P.623-638  DOI:10.1631/FITEE.2400465
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