HPE Swarm Learning
Industry’s first privacy preserving, decentralized machine learning solution.
Protect privacy of data
Models are run at or near the distributed data sources and only insight and results are shared with collaborating machine learning peers. Data is not moved from the sources thus preserving data privacy by limiting data movement.
Improve accuracy and efficiency of models
Machine learning at the edge or near edge the data remains at the source preventing the inefficient movement of data or data duplication to the core or central location.
Ensure collaboration and enable better business decisions
Leverage the security of blockchain smart contracts to work collaboratively with peers and improve model insights.
Increase accuracy and reduce biases in AI models with HPE Swarm Learning
HPE Swarm Learning is a decentralized, privacy-preserving framework for performing machine learning model training at the data source. With HPE Swarm Learning, the data stays local and only the learnings are shared, resulting in improved models with less bias, while solving for data privacy, data ownership and efficiency concerns. Further, HPE Swarm Learning leverages a permissioned blockchain to securely onboard members, and dynamically elect the leader – providing resilience and security to the swarm network.
+ show more
- Swarm Learning technology
- Introducing HPE Swarm Learning
- HPE Swarm Learning key benefits
What is Swarm Learning?
Drawing its inspiration from biology, swarm learning is a decentralized machine learning solution built on blockchain technology, particularly designed to enable enterprises to harness the power of distributed data while protecting data privacy and security. Swarm learning leverages the computing power at or near the distributed data sources, ensures security using tested blockchain technology and protects privacy by sharing insights captured from machine learning and deep learning models running at the source data instead of the raw data itself.
Swarm learning is the next gold rush for machine learning - training at the edge so the edge devices get smarter and also train their peers. With no central authority, blockchain is integrated to add control, privacy, and security.
Decentralized privacy-preserving machine learning at the data source
HPE Swarm Learning provides efficient, secure, privacy-preserving, decentralized machine learning at the data source by sharing only insights among machine learning peers, not privileged data.
HPE Swarm Learning is decentralized, privacy-preserving machine learning framework. This framework utilizes the computing power at, or near, the distributed data sources to run the machine learning algorithms that train the models. It uses a blockchain platform to share only the learnings with peers collaboratively, improving insights. Training the model occurs at the edge, where data is most recent, and where prompt, data-driven decisions are necessary. The insights learned are shared with the collaborating peers, not the raw data thus preserving data privacy and limiting data movement, improving efficiency.
Are data privacy and ownership constraints making your AI Models inaccurate and susceptible to bias? Are you concerned about data privacy, regulations, compliance, or moving data for your machine learning? Is your data distributed and preventing you from collaboration for improved and accurate models? Discover how HPE Swarm Learning can give your organization a competitive edge.
HPE Swarm Learning for the competitive edge
HPE Swarm Learning started with the purpose of solving the dilemma of the explosion of data and the technical, social, and economic challenges of extracting values from data that was constrained by privacy and ownership rules. Organizations embracing HPE Swarm Learning can improve the accuracy of their AI models while reducing biases in the same and enabling a more efficient AI infrastructure. Key benefits include:
- Privacy and security
By sharing only the ML insights, not actual data, between ML peers, HPE Swarm Learning helps businesses with privacy regulations by giving data owners greater control over access to and usage of their data through the smart contracts of blockchain, as well as eliminating the need for raw data transfer over networks, boosting customer confidence.
HPE Swarm Learning enables the reduction of the costs of raw data transfer by performing learning at or near the data sources. HPE Swarm Learning can further help reduce operation costs by taking advantage of existing storage and computing capabilities at or near the data sources, thus eliminating the investment in a central facility, either on-premises or in a cloud.
- Fault-Tolerance for ML Models
Compared to centralized model training, HPE Swarm Learning decentralizes learning, thus effectively avoiding a single point of failure, which can threaten business continuity. The HPE Swarm Learning algorithm is effective in handling biased and unbalanced data at the source. Block chain adds robustness in handling exceptions such as the lost connection of a data source and local model to its machine learning peers.
- Timely Insights
HPE Swarm Learning brings with it the powerful benefit of reducing the latency between the creation of data and the availability of actionable insight derived from that data. With HPE Swarm Learning, model retraining can be initiated as soon as new data becomes available at any data source. The learning captured can be shared immediately with all the machine learning peers, without waiting for the data to be transferred, consolidated, and then mined. A shorter path between data and insights means faster and more accurate responses to the ever-changing market, an enviable competitive advantage.
- New collaboration models
By drawing a clear line between raw data and the insights derived from that data, HPE Swarm Learning decouples data access and data ownership. This decoupling, along with the shifting of training to data, provides a holistic perspective on the value of data.
Key technical specifications
Decentralized privacy-preserving machine learning software
- Gives data owners better control over access to their sensitive information
- Extracts insight from the source data without invading data privacy
- Facilitates the leveraging of any data from any data source worldwide and may help in complying with privacy regulations
- Improves models by leveraging larger data set and generating a model with global stage merge
- Web UI – interface for ease of installation
Blockchain-based smart contract between participants
- Improved efficiency as data is not transferred to a central location
- Prevents inside attack on model merging
Fully supported containerized software
- Packaged as containers with 3 SKUs of 5, 10, 20 nodes of 1 year subscription
- Each 5-pack container can be configure
- 5 HPE Swarm Learning servers optionally GPU based
- 1 Management Server (non-GPU based)
- Community Edition- No charge, unlimited term, 5 node, best effort support available
Fault-tolerance for AI models
- Once it is set up or has connectivity any node in the network that fails joins the network and continues participation from where it left off
Software container contents
- Swarm Learning – for running user-defined machine learning algorithm
- Swarm Network – the blockchain network
- License server – Autopass license server
- SWOP (Swarm Operator) – for command-line management
- 1-yr subscription license and a community license that supports up to 5 nodes
- HPE Swarm Learning can run on any hardware that supports executing container software
- HPE Edgeline
- HPE ProLiant
- HPE Superdome Flex
- HPE Apollo
- HPE Swarm Learning is qualified with DL 380/5, Apollo 6500
- PFSS Storage if external storage is required
HPE PointNext 24x7 Tech Care Essential support
- Break fix support
- Backed by HPE
Explore HPE Artificial Intelligence topics
Take advantage of our comprehensive solutions to untangle complexity and create your end-to-end artificial intelligence solution, from the core data center to the intelligent edge.
HPE Greenlake for Machine Learning
HPE Artificial Intelligence (AI) Solutions
HPE Machine Learning Development Environment
Deep Learning and Machine Learning
HPE Machine Learning Development System
HPE AI Ethics and Principles
Big Data & Analytics Consulting Services
HPE Pointnext Services for Artificial Intelligence
Swarm Learning Resources
Want to explore more? Here are some swarm learning resources that might interest you.