Optimizing IoT Data Collection for Federated Learning Under Constraint of Wireless Bandwidth
Author:
Affiliation:
1. NTT Corporation,NTT Network Service Systems Laboratories,Tokyo,Japan,180-8585
2. Toyo University,Faculty of Information Networking for Innovation and Design,Tokyo,Japan,115-8650
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622332.pdf?arnumber=10622332
Reference24 articles.
1. A Survey on Federated Learning for Resource-Constrained IoT Devices
2. Federated optimization: Distributed machine learning for on-device intelligence;Konecny;arXiv preprint,2016
3. Clarifying Fog Computing and Networking: 10 Questions and Answers
4. Federated learning with non-iid data;Zhao;arXiv preprint,2018
5. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
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