| Title | Federated Learning With Energy Harvesting Devices |
| Author | |
| Publication Years | 2023
|
| DOI | |
| Source Title | |
| ISSN | 2473-2400
|
| Volume | PPIssue:99Pages:1-1 |
| Keywords | |
| URL | [Source Record] |
| SUSTech Authorship | Others
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10236499 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559290 |
| Department | Department of Electrical and Electronic Engineering |
| Affiliation | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Shenzhen Research Institute of Big Data, Shenzhen, China 3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China 4.School of Electronic Information, Wuhan University, Wuhan, China |
| Recommended Citation GB/T 7714 |
Li Zeng,Dingzhu Wen,Guangxu Zhu,et al. Federated Learning With Energy Harvesting Devices[J]. IEEE Transactions on Green Communications and Networking,2023,PP(99):1-1.
|
| APA |
Li Zeng,Dingzhu Wen,Guangxu Zhu,Changsheng You,Qimei Chen,&Yuanming Shi.(2023).Federated Learning With Energy Harvesting Devices.IEEE Transactions on Green Communications and Networking,PP(99),1-1.
|
| MLA |
Li Zeng,et al."Federated Learning With Energy Harvesting Devices".IEEE Transactions on Green Communications and Networking PP.99(2023):1-1.
|
| Files in This Item: | There are no files associated with this item. | |||||
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