BYTE COMPUTER S.A. is a leading Greek ICT integrator with over 30 years of experience in delivering reliable business solutions across both the private and public sectors in Greece, as well as internationally in countries including Cyprus, Albania, Bulgaria, Romania, and Serbia. With a strong track record in implementing large-scale IT projects, BYTE combines technical excellence with robust quality and information security standards (ISO 9001 and ISO 27001 certifications), positioning it as a trusted technology partner.

The vision of SEARCH is to transform how biomedical data can be accessed, analysed, and shared across Europe by combining synthetic data generation with federated learning, ensuring that healthcare innovation advances without compromising privacy. In this context, BYTE plays a leading role in ensuring that the platform is not only technically robust, but also practical, scalable, and validated by end users.

BYTE leads the development of the Federated Machine Learning Module, building the data infrastructure that enables distributed learning across the SEARCH network. On top of the federated node architecture, BYTE will design and deploy the software stacks required for federated training and analytics. By leveraging state-of-the-art tools such as PySyft, TensorFlow Federated, Dask-Distributed, or GPU-accelerated solutions like Rapids, BYTE ensures that the platform can support complex AI workflows across heterogeneous environments. This work includes evaluating the minimal computational requirements for participating sites, defining the necessary data items for learning, and building the interfaces needed for secure and efficient access. Working exclusively with synthetic data, BYTE guarantees that federated training never exposes sensitive patient-level information. Robust testing will benchmark the performance and efficiency of federated approaches against centralised ones, ensuring the module meets the highest standards of privacy, integrity, and computational effectiveness.

In parallel, BYTE leads the Platform Usability Assessment, ensuring that SEARCH delivers value to researchers, clinicians, industry stakeholders, and AI developers alike. This includes validating the platform in terms of data discoverability, usability of discovered datasets, ease of deploying AI pipelines, and effectiveness in clinical use cases. By testing how outputs correlate between synthetic and real-world datasets, BYTE ensures that the platform delivers reliable and clinically relevant insights. The assessment process also measures workflow efficiency, error reduction, and overall user satisfaction, driving iterative refinements of the platform. This ensures that the final system is not only technically advanced but also user-friendly, clinically effective, and trusted by diverse stakeholders.