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HorizonML: Independant Studies [Spring 2025]

HorizonML Submission

HorizonML explores decentralized model training by implementing and benchmarking data-parallel, layer-parallel, and tensor-parallel strategies across simulated nodes. The project aims to challenge centralized AI training pipelines by laying the groundwork for a modular, trustless training framework.

Slides

https://github.com/Deeptanshu-sankhwar/horizonml/blob/main/assets/HorizonML.pdf

Video (demo)

https://www.loom.com/share/cfda4a569b7049ab82cf2999bc885cdc?sid=04d39fc5-da1f-4c10-8d5e-6eccbb066c54

Git Repo

http://github.com/Deeptanshu-sankhwar/horizonml

Benchmark Results

https://github.com/Deeptanshu-sankhwar/horizonml/tree/main/benchmark_results/all

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