mlsanityData to 7 Oct 2026

A Review on Building Blocks of Decentralized Artificial Intelligence

arXiv 2402.02885 ↗First posted 5 Feb 2024cs.AI cs.CR cs.DCcited by 2

Not on the map. Why?

Abstract (arXiv)

Artificial intelligence is transforming our lives, and technological progress and transfer from the academic and theoretical sphere to the real world are accelerating yearly. But during that progress and transition, several open problems and questions need to be addressed for the field to develop ethically, such as digital privacy, ownership, and control. These are some of the reasons why the currently most popular approaches of artificial intelligence, i.e., centralized AI (CEAI), are questionable, with other directions also being widely explored, such as decentralized artificial intelligence (DEAI), to solve some of the most reaching problems. This paper provides a systematic literature review (SLR) of existing work in the field of DEAI, presenting the findings of 71 identified studies. The paper's primary focus is identifying the building blocks of DEAI solutions and networks, tackling the DEAI analysis from a bottom-up approach. In the end, future directions of research and open problems are proposed.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 24 of its 113 references that are in the map. First posted on arXiv 5 Feb 2024.

Builds on

24 of 113 references.

References · 24

  1. 2017Attention Is All You Needcited by 59,932
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  3. 2019Federated Learning: Challenges, Methods, and Future Directionscited by 1,531
  4. 2018Distributed learning of deep neural network over multiple agentscited by 277
  5. 2019Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computingcited by 225
  6. 2021Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challengescited by 25
  7. 2019Decentralized & Collaborative AI on Blockchaincited by 21
  8. 2019PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networkscited by 18
  9. 2020BitTensor: A Peer-to-Peer Intelligence Marketcited by 15
  10. 2021OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learningcited by 9
  11. 2018Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchaincited by 8
  12. 2021A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Datacited by 8
12 more
  1. 2018ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networkscited by 7
  2. 2018A Hitchhiker's Guide On Distributed Training of Deep Neural Networkscited by 7
  3. 2020Marketplace for AI Modelscited by 6
  4. 2020Ownership preserving AI Market Places using Blockchaincited by 5
  5. 2021IPFS and Friends: A Qualitative Comparison of Next Generation Peer-to-Peer Data Networkscited by 5
  6. 2017Multi-agent systems and decentralized artificial superintelligencecited by 4
  7. 2019A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchaincited by 3
  8. 2020Should Artificial Intelligence Governance be Centralised? Design Lessons from Historycited by 3
  9. 2019DaiMoN: A Decentralized Artificial Intelligence Model Networkcited by 2
  10. 2018Blockchain Enabled Trustless API Marketplacecited by 1
  11. 2022Libraries, Integrations and Hubs for Decentralized AI using IPFScited by 1
  12. 2022Is Decentralized AI Safer?cited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Is Decentralized AI Governable? From Regulative Policy to Constitutive Protocolcited by 0
  2. 2026Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directionscited by 0