Federated Learning for Distributed Reasoning on Edge Computing

Author:

Firouzi Ramin,Rahmani Rahim,Kanter Theo

Publisher

Elsevier BV

Subject

General Engineering

Reference29 articles.

1. S. Wang et al., “When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning”, in IEEE INFOCOM 2018-IEEE Conference on Computer Communications, Apr. 2018, pp. 63–71, doi: 10.1109/INFOCOM.2018.8486403.

2. "Fog and IoT: An Overview of Research Opportunities";Chiang;IEEE Internet of Things Journal,2016

3. B. R. Kelly and 04/15/15, “Internet of Things Data To Top 1.6 Zettabytes by 2020 -”, Campus Technology. https://campustechnology.com/articles/2015/04/15/internet-of-things-data-to-top-1-6-zettabytes-by-2020.aspx (accessed Feb. 04, 2021).

4. "A Survey on Mobile Edge Computing: The Communication Perspective";Mao;IEEE Communications Surveys Tutorials,2017

5. Understanding machine learning: from theory to algorithms;Shalev-Shwartz,2014

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