Leveraging Fully-decoupled Radio Access Network for Wireless Federated Learning Acceleration
Author:
Affiliation:
1. Nanjing University,School of Electronic Science and Engineering,Nanjing,China,210023
2. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Ontario,Canada,N2L 3G1
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9880588/9880614/09880740.pdf?arnumber=9880740
Reference16 articles.
1. Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks
2. Robust Secrecy Competition With Aggregate Interference Constraint in Small-Cell Networks
3. Deep Reinforcement Learning-based RAN Slicing for UL/DL Decoupled Cellular V2X
4. Design and Analysis of Uplink and Downlink Communications for Federated Learning
5. Joint Uplink-Downlink Cooperative Interference Management With Flexible Cell Associations
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