MIT Perspective on Decentralized AI

MIT Perspective on Decentralized AI

@raskar

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3 days ago 37

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MIT Perspective on Decentralized AI

@raskar3 days ago

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A Perspective on Decentralizing AI
Abhishek Singha, Charles Lua, Gauri Guptaa, Ayush Chopra…

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Fig. 1. Missed opportunities in today’s AI. We posit that self-organization can increase the…

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accessibility and control over these assets. Figure 1 illustrates the contrast between diffe…

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Fig. 2. Landscape of existing paradigms and the path towards self-organized AI. ML algorithm…

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data is not involved in scientific computing workloads. In contrast, Decentralized AI faces …

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Fig. 3. Five pillars of Decentralized AI. We propose a self-organized approach towards Decen…

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centralized at a single location. A more common scenario in today’s world is where Sarah’s X…

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algorithms can be employed where one party proves to another that it has expended computatio…

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Fig. 6. Self-coordination for decentralized collaborative learning. Current collaborative le…

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latency communication network (for example, InfiniBand), decentralized AI requires paralleli…

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the crowd UX challenge enhances the trust and accessibility of the system. Specifically, a s…

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Fig. 7. Risks of Decentralized AI: There are several risks associated with AI. A subset of t…

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Lack of Traceability: Decentralizing machine learning development and deployment minimizes d…

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References
1. Adrian Kingsley-Hughes. What is an ai pc? (and should you buy one?). ZDNet, 2…

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Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, pages 12396–12404,…

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IEEE 39th International Conference on Data Engineering (ICDE), pages 3467–3480. IEEE, 2023.
…

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https://www.media.mit.edu/events/mit-decentralized-ai-summit/

MIT Perspective on Decentralized AI

@raskar

Tech

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