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A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus

arXiv 2206.07089 ↗First posted 5 May 2022cs.DC cs.LGcited by 0

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Abstract (arXiv)

In most popular public accessible cryptocurrency systems, the mining pool plays a key role because mining cryptocurrency with the mining pool turns the non-profitable situation into profitable for individual miners. In many recent novel blockchain consensuses, the deep learning training procedure becomes the task for miners to prove their workload, thus the computation power of miners will not purely be spent on the hash puzzle. In this way, the hardware and energy will support the blockchain service and deep learning training simultaneously. While the incentive of miners is to earn tokens, individual miners are motivated to join mining pools to become more competitive. In this paper, we are the first to demonstrate a mining pool solution for novel consensuses based on deep learning. The mining pool manager partitions the full searching space into subspaces and all miners are scheduled to collaborate on the Neural Architecture Search (NAS) tasks in the assigned subspace. Experiments demonstrate that the performance of this type of mining pool is more competitive than an individual miner. Due to the uncertainty of miners' behaviors, the mining pool manager checks the standard deviation of the performance of high reward miners and prepares backup miners to ensure the completion of the tasks of high reward miners.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 19 of its 30 references that are in the map. First posted on arXiv 5 May 2022.

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References · 19

  1. 2018DARTS: Differentiable Architecture Searchcited by 1,782
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  12. 2019Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Searchcited by 38
7 more
  1. 2019Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithmcited by 26
  2. 2021A Study of the Human Perception of Synthetic Facescited by 14
  3. 2019Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learningcited by 10
  4. 2019Energy-recycling Blockchain with Proof-of-Deep-Learningcited by 7
  5. 2019HM-NAS: Efficient Neural Architecture Search via Hierarchical Maskingcited by 5
  6. 2019DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Servicescited by 4
  7. 2020Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentationcited by 4

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