IoTeX and Scaleout are partnering to enable trusted, end-to-end machine learning and the first community-owned machine learning models via Initial Model Offerings (IMO).
Machine learning is all about learning and extracting value from data — if data is the new gold, then machine learning is the smelting process. As our world becomes more digitized, the data we use to train the machine learning models that will one day control/influence our vehicles, cities, and health must be raised to a higher standard. The $10 billion machine learning industry has yet to reach its full potential due to centralized control of the end-to-end process by individual institutions. But blockchain, as a trusted orchestrator, and secure hardware, as a verifiable data generator, have the potential to transform and democratize the machine learning industry. That starts now.
IoTeX is excited to partner with Scaleout, a pioneering federated machine learning company, to decentralize the machine learning value chain from data collection to model usage/access. As a first step, Scaleout will develop a protocol for contributor-owned machine learning models that will be trained with verifiable data from Pebble Tracker, allowing anyone to mine tokens by contributing their data to various models. The end goal is to develop an end-to-end solution for decentralized machine learning, including trusted collaboration, smart contract-based model governance, and on-chain serving of machine learning predictions.
Interview with Daniel Zakrisson, Scaleout CEO
Scaleout is a team of 10+ data scientists, ML engineers, and professors pioneering federated learning to build collective intelligence at scale, while preserving data privacy and security. Collectively, the team has authored 100+ peer-reviewed articles on AI/ML and is working with enterprises such as Swiss Airlines, EUROCONTROL and SITA.
IoTeX hosted an in-depth interview with Daniel Zakrisson, Co-founder & CEO of Scaleout, to discuss the machine learning landscape, how blockchain can bring AI/ML to the next level, and community-owned machine learning models on IoTeX.
Call for Participation — Join Us!
Scaleout is bringing the first contributor-owned machine learning models to IoTeX and we would love for you to be part of history with us. Our initial efforts will be centered around Pebble Tracker, which will allow you to mine data, earn tokens, and claim your share of the first fractionally owned models. Get your Pebble Tracker on CrowdSupply via the link below — act fast, the pre-sale ends March 25:
As Featured In Pebble Tracker is a secure, battery-operated, cellular-IoT prototyping platform designed for…
IoTeX & Scaleout Partnership Overview
Our partnership will be an incremental, long-term effort with several work phases. The first phase will be to develop a solution to jointly train machine learning models using verifiable data from Pebble Tracker devices, as well as provide a solution that serves predictions from these models to on-chain and off-chain to end users. This will represent the birth of the first collaborative machine learning network on a blockchain, where machine learning models can be co-owned by those contributing to the creation and training of the model. Collaborative machine learning has the potential to change the current paradigm around data control/generation and enable market-leading machine learning models that are not owned by one single entity, but by all those who have participated in training the model.
The longer term objective of the IoTeX and Scaleout partnership will be to bring machine learning capabilities (e.g., protocols, tools, APIs) to the IoTeX Network and enable fully trusted end-to-end machine learning pipelines. Imagine contributing to, and therefore fractionally owning, a crowdsourced Google Maps, a global temperature + air quality index, or even a personalized search engine for personal privacy! Future initiatives are outlined below:
Machine learning networks and governance
We will enable collaboration between peers and devices that generate trusted data for training machine learning models. This will require infrastructure and tools to access the data and train the machine learning models, and smart contracts to govern control over these collaborative models. Stay tuned for examples and boilerplate code to launch your own experiments!
Off-chain infrastructure to build, train, and service ML models
Machine learning is generally an expensive task in computational terms and uses a lot of compute, storage and network resources. It is not feasible (or even wanted) to do everything on-chain, so bridges between on- and off-chain machine learning resources will be developed.
Integrate models into production systems
A machine learning model is only any good if you can put it to use. There will be methods to access machine learning models on-chain and off-chain.
Scaleout is a team of data scientists, machine learning engineers, software engineers, and entrepreneurs. Experienced from both industry and academic research in AI, cloud and fog computing, and scientific computing from top-ranked Uppsala University in Sweden. Collectively the team has authored 100+ peer-reviewed articles in AI/ML, scientific computing, and systems biology.
Scaleout is pioneering federated learning to overcome the data-sharing challenge, building collective intelligence from distributed data at scale, while preserving data privacy and security. The Scaleout platform enables federated machine learning, data partnerships, and joint machine learning ventures. It is built for creating commercial machine learning alliances where data owners can build strong machine learning models together.
Scaleout has worked with some of the largest and most reputable organizations in the world, including AstraZeneca, SAAB Defence Systems, Swedish National Space Agency, Autodesk, Raysearch Laboratories, GE Healthcare, Swedish National Infrastructure for Computing (SNIC).
Founded as an open-source platform in 2017, IoTeX is building the Internet of Trusted Things, an open ecosystem where all “things” — humans, machines, businesses, and DApps — can interact with trust and privacy. Backed by a global team of 30+ top research scientists and engineers, IoTeX combines blockchain, secure hardware, and confidential computing to enable next-gen IoT devices, networks, and economies. IoTeX will empower the future decentralized economy by “connecting the physical world, block by block”.