Skip to content

SL Training

Product Description: SL Training

SL Training is an advanced, cooperative training software product designed to enable collaborative machine learning and artificial intelligence development across multiple parties, with a strong emphasis on data privacy and interoperability.

Key Principles

SL Training operates on the data visiting principle: rather than centralizing sensitive data, each participating node prepares its data according to a Common Data Model (CDM). The upfront agreed upon machine learning and AI algorithm is then distributed to all contributing nodes, allowing for joint learning without the need to share sensitive raw data. This ensures data sovereignty and compliance with privacy regulations while still enabling powerful, collective AI development.

Use Cases

  • Development of AI-Based Medical Devices: SL Training is ideal for creating predictive models in healthcare, such as outcome prediction tools for Acute Myeloid Leukemia (AML)1 and other complex conditions.
  • Global Swarm Experiments: The platform supports large-scale, distributed experiments in fields like infectious diseases, where data from diverse sources is crucial for robust AI insights2.

Collaborative Effort

Every member of an SL Training network agrees upfront on the data space, the common data model, and the algorithm to be used. This ensures seamless integration and efficient collaboration throughout the training process.

Benefits

  • Privacy-Preserving Collaboration: Data remains local, reducing privacy risks.
  • Scalable and Flexible: Easily accommodates new nodes or data sources.
  • Accelerated Innovation: Joint learning harnesses the collective intelligence of all participants, leading to more accurate and generalizable AI models.
  • Regulatory Compliance: Designed with healthcare and sensitive data regulations in mind.
  • Equitability of participating partners: The upfront agreement ensures, apart from the data and algorithm to be used, equitable consideration of every partner in the network. Previous work has already shown that the inclusion of partner institutions even when providing smaller dataset is beneficial for the performance of the generated ML/AI model.

SL Training empowers organizations across the world to work together on cutting-edge AI solutions, unlocking the full potential of distributed data while maintaining the highest standards of privacy and cooperation.