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Published online by Cambridge University Press: 14 January 2022
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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