Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch
Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch launched on May 2, 2018 with 15 votes, #965 of 2,986 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
This project combines IPFS and PyTorch to enable peer-to-peer federated deep learning across distributed networks. It allows machine learning models to be trained collaboratively without requiring a central server, making it suitable for researchers and developers interested in decentralized AI approaches. The system leverages IPFS for data distribution and PyTorch for model training, enabling participants to contribute computing resources directly to shared learning tasks.
written from the facts on this page · September 2026
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