Raven Protocol Partners with Ocean Protocol to Bring Federated Learning to Ocean Market via Compute-to-Data
Raven Protocol is expanding their use cases and They are quite honored to announce that they are partnering with Ocean Protocol! They will become a Compute Provider in Ocean Compute-to-Data and will be publishing a range of algorithms on Ocean Market, from Machine Learning to Federated Analytics and of course the holy grail — Federated Learning.
One important question that their community often asks is, “How Do they handle privacy and security of the training data?” Although They are working on various encryption techniques, the topic is so important that They’ve even developers volunteer to contribute to the privacy/security of the training protocol.
But what if there was a data provider that already handled the privacy of the training data? At Raven, we’ve been following Ocean Compute-to-Data quite closely since it launched last year. Compute-to-Data resolves the tradeoff between the benefits of using private data, and the risks of exposing it. It lets the data stay on-premise, yet allows 3rd parties to run specific compute jobs on it to get useful compute results like averaging or building an AI model.
Ocean Compute-to-Data works as follows.
- First, Data Providers approve AI algorithms to run on their data. These algorithms could be published by Raven Protocol or other third parties.
- Then, Compute-to-Data orchestrates remote computation and execution on data to train AI models. The remote computation could be handled by the Raven Network or other Compute Providers approved by the Data Provider.
At Raven, we believe that distributed computing is the future of computing. Our framework RDF is a distributed and decentralised compute engine, consisting of various libraries like RavOp, RavML and RavDL. As we are inching towards our goal, our partnership with Ocean is going to be a powerful collaboration providing value to our contributors, Ocean’s data-providers and clients. We are super excited to be working with Ocean’s team.— Kailash Ahirwar, Co-founder of Raven Protocol and author of Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
About Ocean Protocol
Ocean Protocol’s mission is to kickstart a Web3 Data Economy that reaches the world, giving power back to data owners and enabling people to capture value from data to better our world.
Data is a new asset class; Ocean Protocol unlocks its value. Data owners and consumers use the Ocean Market app to publish, discover, and consume data assets in a secure, privacy-preserving fashion.
Ocean datatokens turn data into data assets. This enables data wallets, data exchanges, and data co-ops by leveraging crypto wallets, exchanges, and other DeFi tools. Projects use Ocean libraries and OCEAN in their own apps to help drive the Web3 Data Economy.