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SkipPipe: a communication efficient method for decentralised training
Research

SkipPipe: a communication efficient method for decentralised training

This is an academic paper for efficient communication in pipeline parallel training. It introduces an optimal scheduling algorithm that maximises performance and fault tolerance whilst minimising convergence impact from layer skips.
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Gensyn
Verde: a verification system for machine learning over untrusted nodes
Research

Verde: a verification system for machine learning over untrusted nodes

This is an academic paper describing Verde, a verification protocol for machine learning programs, as well as the underlying Reproducible Operators (RepOps) system that enables it.
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Gensyn
GPT@home: Why the Future of Training is Decentralized
Article

GPT@home: Why the Future of Training is Decentralized

AI training costs are hitting $100B per run. Gensyn's decentralized infrastructure enables efficient training across edge devices at massive scale—making model development collaborative and accessible.
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Gensyn
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