Abstract
At present, the combination of blockchain and deep learning is an upsurge. This paper proposed a deep learning task allocation scheme based on blockchain. With the objective of minimizing energy consumption under the QoS constraint, in the proposed deep learning task allocation scheme, the reputation evaluation mechanism of participants was first proposed to reduce the possibility of malicious attacks on the system. Secondly, the task sharding based on data parallelism is to minimize the response time of different types of tasks and ensure the security of the allocation process. Finally, a task allocation algorithm based on reinforcement learning method is proposed, which allocated tasks considering user selection and dynamic resources to reduce energy consumption.
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Acknowledgment
This work was supported by the research project of China Unicom: Research on the Core Technology of SMS Capability Platform Based on “5G Message + Blockchain”.
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Sun, S., Liu, Y., Ren, L., Tian, D., Wei, Y. (2022). Blockchain-Based Distributed Deep Learning Task Assignment Scheme. In: Xie, Q., Zhao, L., Li, K., Yadav, A., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 89. Springer, Cham. https://doi.org/10.1007/978-3-030-89698-0_80
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DOI: https://doi.org/10.1007/978-3-030-89698-0_80
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