Decentralized Federated Learning on the Oasis Network by Dawn Song (Devcon 5)

Fri, Oct 2, 2020, 12:00 AM

Visit the https://archive.devcon.org/ to gain access to the entire library of Devcon talks with the ease of filtering, playlists, personalized suggestions, decentralized access on IPFS and more. https://archive.devcon.org/archive/watch/5/decentralized-federated-learning-on-the-oasis-network Machine learning is being adopted more and more broadly in technology. Such success is largely due to a combination of algorithmic breakthroughs, computation resource improvements, and the access to a large amount of diverse training data. The collection of data can raise concerns about siloing, security, and user privacy. In this talk, I will highlight a new blockchain-based machine learning technology that allows users to share their data, train models in a fully decentralized way, and incentive end users to keep their data on the network using the Oasis network. This technology, called HiveMind, leverages a federated learning framework to reduce overhead both in communication and computation. In addition, the talk will highlight the benefits of a novel blockchain-based secure aggregation protocol that ensures client-level differential privacy, and thus prevents information leakage from trained model parameters. Speaker(s): Dawn Song Skill level: Advanced Track: Developer Infrastructure Keywords: academic Follow us: https://twitter.com/efdevcon, https://twitter.com/ethereum Learn more about devcon: https://www.devcon.org/ Learn more about ethereum: https://ethereum.org/ Devcon is the Ethereum conference for developers, researchers, thinkers, and makers. Devcon 5 was held in Osaka, Japan on Oct 8 - 11, 2019. Devcon is organized and presented by the Ethereum Foundation, with the support of our sponsors. To find out more, please visit https://ethereum.foundation/