Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing-Reference-Cited by-同舟云学术

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Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing

Published:2021 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Chergui Hatim,Blanco Luis,Verikoukis Christos

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/09534716.pdf?arnumber=9534716

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Driven Framework for Scalable Management of Network Slices;IEEE Communications Magazine;2023-11

2. A Marketplace Solution for Distributed Network Management and Orchestration of Slices;2023 19th International Conference on Network and Service Management (CNSM);2023-10-30

3. Approximate computing in B5G and 6G wireless systems: A survey and future outlook;Computer Networks;2023-09

4. Design of an SLA Violation identification framework via Iterative Learning under Temporary Peak loads for Cloud deployments;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis;IEEE Transactions on Services Computing;2023-07-01

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