Machine learning on the edge, distributed machine learning

Glossary Page

Distributed machine learning is a technique used when it is not desirable to transmit local data to a central server for the purpose of machine learning. This approach enables local nodes to train models locally and then periodically send the models to the central server. Once there, the models are combined and then redistributed to the local nodes for further use.

https://link.springer.com/content/pdf/10.1007/978-3-030-93975-5.pdf

Latest Webinars

November 5 – 6, 2025

Bundesministerium für Wirtschaft und Energie

From silos to ecosystems: Creating europe’s digital momentum

Join us on 5–6 November 2025 at Radialsystem V, Berlin for From Silos to Ecosystems, a hands-on workshop series hosted by Germany’s Federal Ministry for Economic Affairs and Energy. Dive into real-world applications of Manufacturing-X, Industrial AI, and Cloud-Edge, with a focus on collaborative innovation and practical insights. In Workshop 2: Industrial AI in Decentralized Systems, explore how AI can be scaled and secured in distributed environments. Topics include edge computing, real-time AI models, open-source ecosystems, data space integration, and legal considerations around IP and data use.

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October 28, 2025

T-Systems International

BMW meets Telekom: The new era of AI-defined vehicles

BMW meets Telekom 2025 is a high-level strategy event on October 28 at the BMW Campus, focused on the future of automotive innovation. Experts from both companies will explore how connectivity, dataspaces, and AI are transforming mobility. Highlights include live demos, security exhibits, and an impulse speech by Sven Löffler on cross-border data collaboration. Attendees will engage in deep dives and discussions around AI-defined vehicles and trusted data ecosystems.

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October 23, 2025

Telekom Data Intelligence Hub

Catena-X: Everything you need to know to get started and create value

Catena-X is the first trusted data ecosystem for the automotive industry. In this webinar, T-Systems experts will present the fundamentals, concrete use cases, and how companies can join step by step. Learn how to move quickly from pilot projects to scalable integration — with structured onboarding programs, certified solutions, and practical examples.

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BMW Certificate Upload via Catena-X – Onboarding Info Webinar Series

This webinar series is an initial orientation session. We will explain the “Certificate Management” (CCM) use case, BMW’s expectations, and the required steps: registration, app access, upload, and sharing.

Luca Löffler

Oct 27, 2025

Delivering global sovereignty: T-Systems launches Catena-X connectivity in China with local infrastructure

T-Systems has launched its Connect & Integrate service on local infrastructure in China, enabling Chinese suppliers and manufacturers to securely and efficiently join the Catena-X ecosystem, bridging connectivity with global OEMs while ensuring data sovereignty and regulatory compliance.

Tushar Yadav

Oct 14, 2025

Winning with Sustainability: End-to-End Solution from T-Systems and iPoint

T-Systems and iPoint deliver a joint, production-ready Product Carbon Footprint (PCF) solution that enables end-to-end carbon transparency across the automotive value chain. Combining Catena-X-certified data exchange with decades of compliance and sustainability expertise, the solution empowers suppliers and OEMs to meet regulatory demands, integrate securely with existing systems, and scale digital sustainability — turning compliance into measurable business value.

Andrea Garcia

Oct 08, 2025