Phase 1 · completed6G-ROTAM
Resource-optimised training of large language models in 6G networks for AI on Device: application to sensitive medical data
Together with RWTH Aachen, we researched how large language models (LLMs) can be trained in a federated way – that is, without centrally storing sensitive patient data – directly on the device („AI on Device"). A privacy-compliant trust layer secures the communication; the use case comes from psychotherapy. VIVAM GmbH emerged from this first project phase in 2025.
Project at BMFTR →Phase 2 · ongoing6G-ROTAM2
Resource-optimised training of large language models in 6G networks for AI on Device (Phase 2)
In this second phase, led by VIVAM, we are developing the federated, privacy-compliant approach from Phase 1 into a 6G-ready, AI-augmented platform for psychotherapy. A privacy-compliant trust layer secures consent and data access; edge AI and modern 6G networks enable low latency. The pilot application field is psychotherapy.
More information to follow.