Federated learning framework for mobile edge computing networks-Reference-Cited by-同舟云学术

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Federated learning framework for mobile edge computing networks

Published:2020-01-08 Issue:1 Volume:5 Page:15-21
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Fantacci Romano¹,Picano Benedetta¹

Affiliation:

1. Department of Information EngineeringUniversity of FlorenceFlorenceItaly

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2019.0049

Reference37 articles.

1. SmithV.ChiangC.SanjabiM.et al.: ‘Federated multi‐task learning’ vol. abs/1705.10467 2017

2. WangS.TuorT.SalonidisT.et al.: ‘When edge meets learning: adaptive control for resource‐constrained distributed machine learning’ vol. abs/1804.05271 2018 pp.63–71

3. Fog and IoT: An Overview of Research Opportunities

4. ShanX.ZhiH.LiP.et al.: ‘A survey on computation offloading for mobile edge computing information’

5. Mobile Edge Computing: A Survey on Architecture and Computation Offloading

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