Title
When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries
Abstract
For several industrial applications, a sole data owner may lack sufficient training samples to train effective machine learning based models. As such, we propose a federated learning (FL) based approach to promote privacy-preserving collaborative machine learning for applications in smart industries. In our system model, a model owner initiates an FL task involving a group of workers, i.e., data o...
Year
DOI
Venue
2022
10.1109/TII.2020.3046028
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Data models,Training,Task analysis,Contracts,Agriculture,Data collection,Computational modeling
Journal
18
Issue
ISSN
Citations 
1
1551-3203
9
PageRank 
References 
Authors
0.44
12
7
Name
Order
Citations
PageRank
Wei Yang Lim119313.37
Zehui Xiong258654.94
Jiawen Kang354331.46
Niyato Dusit49486547.06
Cyril Leung589962.23
Chunyan Miao62307195.72
Xuemin Shen715389928.67