ODE: An Online Data Selection Framework for Federated Learning With Limited Storage
Author:
Affiliation:
1. Department of Computer Science and Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China
2. Huawei Noah's Ark Laboratory, Beijing, China
Funder
National Key Research and Development Program of China
China NSF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/90/10640200/10478325.pdf?arnumber=10478325
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1. DeepCog: Optimizing Resource Provisioning in Network Slicing With AI-Based Capacity Forecasting
2. Network Anomaly Detection: Methods, Systems and Tools
3. Quality of service guarantees in virtual circuit switched networks
4. 5G Ultra-Reliable Low-Latency Communication Implementation Challenges and Operational Issues with IoT Devices
5. Machine Learning, Data Mining, and Big Data Analytics for 5G-Enabled IoT
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