| index | Title |
| 1 | Cost-effective resource segmentation in hierarchical mobile edge clouds Author(s):Ming-shuang Jin, Shuai Gao, Hong-bin Luo, Hong-ke Zhang Clicked:8266 Download:3902 Cited:0 <Full Text> <PPT> 2389 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.9 P.1209-1220 DOI:10.1631/FITEE.1800203 |
| 2 | Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system Author(s):Pei-qiu Huang, Yong Wang, Ke-zhi Wang Clicked:8311 Download:6821 Cited:0 <Full Text> <PPT> 2415 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.12 P.1713-1725 DOI:10.1631/FITEE.2000315 |
| 3 | A 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:5379 Download:4377 Cited:0 <Full Text> <PPT> 1023 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.5 P.645-663 DOI:10.1631/FITEE.2300181 |
| 4 | PPDO: a privacy-preservation-aware delay optimization task-offloading algorithm for collaborative edge computing Author(s):Chao JING, Jianwu XU Clicked:3737 Download:4700 Cited:0 <Full Text> <PPT> 935 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.1 P.27-41 DOI:10.1631/FITEE.2300741 |
| 5 | Federated deep reinforcement learning based computation offloading in a low Earth orbit satellite edge computing system Author(s):Min JIA, Jian WU, Xinyu WANG, Qing GUO Clicked:3033 Download:5582 Cited:0 <Full Text> <PPT> 870 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.5 P.805-815 DOI:10.1631/FITEE.2400448 |
| 6 | A 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:2395 Download:3584 Cited:0 <Full Text> <PPT> 954 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.4 P.623-638 DOI:10.1631/FITEE.2400465 |
