Joint Client Selection and Task Assignment for Multi-Task Federated Learning in MEC Networks
Author:
Affiliation:
1. School of Informatics, Xiamen University,Xiamen,China
2. School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685698.pdf?arnumber=9685698
Reference12 articles.
1. Matching-Theory-Based Low-Latency Scheme for Multitask Federated Learning in MEC Networks
2. Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics
3. Satellite-Aerial Integrated Computing in Disasters: User Association and Offloading Decision
4. A Learning-Based Incentive Mechanism for Federated Learning
5. Approximating the $$k$$ -Set Packing Problem by Local Improvements
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