Consolidating incentivization in distributed neural network training via decentralized autonomous organization-Reference-Cited by-同舟云学术

Consolidating incentivization in distributed neural network training via decentralized autonomous organization

Published:2022-05-22 Issue:22 Volume:34 Page:19599-19613
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Nikolaidis Spyridon^ORCID,Refanidis Ioannis

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07374-3.pdf

Reference60 articles.

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2. Nikolaidis S, Refanidis I (2020) Privacy preserving distributed training of neural networks. Neural Comput Applic 32(23):17333–17350. https://doi.org/10.1007/s00521-020-04880-0

3. Nikolaidis S, Refanidis I (2021) Using distributed ledger technology to democratize neural network training. Appl Intell. https://doi.org/10.1007/s10489-021-02340-3

4. Benet J (2021) “IPFS - Content addressed, versioned, P2P file system,” [cs], Jul. 2014, Accessed: Apr. 01, [Online]. Available: http://arxiv.org/abs/1407.3561

5. Popov S, Saa O, Finardi P (2019) Equilibria in the Tangle. Comput Ind Eng 136:160–172. https://doi.org/10.1016/j.cie.2019.07.025

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