Resource Aware Client Selection for Federated Learning in IoT Scenarios
Author:
Affiliation:
1. Federal University of Ceara
2. Institute of Computing - University of Campinas
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256660/10257181/10257194.pdf?arnumber=10257194
Reference28 articles.
1. Differentially private federated learning on heterogeneous data;noble;Proceedings of The 25th International Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research,2022
2. Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
3. Fedmccs: Multicriteria client selection model for optimal iot federated learning;abdulrahman;IEEE Internet of Things Journal,2021
4. Incentive techniques for the Internet of Things: A survey
5. IoT Device Friendly and Communication-Efficient Federated Learning via Joint Model Pruning and Quantization
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