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9 - Incentive Mechanisms in Edge Learning Systems

Published online by Cambridge University Press:  14 January 2022

Song Guo
Affiliation:
The Hong Kong Polytechnic University
Zhihao Qu
Affiliation:
The Hong Kong Polytechnic University
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Summary

How to build a benign ecosystem for sustainable development of edge learning is a crucial issue. This chapter first introduces incentive mechanisms for edge learning to motivate edge nodes to contribute model training. Specifically, in parameter server architecture, we introduce a deep reinforcement learning-based (DRL) incentive mechanism to determine the optimal pricing strategy for the parameter server and the optimal training strategies for edge nodes. Finally, we discuss future directions.

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Chapter
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Edge Learning for Distributed Big Data Analytics
Theory, Algorithms, and System Design
, pp. 159 - 170
Publisher: Cambridge University Press
Print publication year: 2022

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