Research foundation

T-RIZE is a partner of the T-RIZE Industrial Research Chair on Applications for Sustainable and Practical Blockchain Systems at École de technologie supérieure (ÉTS Montréal), led by Professor Kaiwen Zhang.

The chair’s research context includes distributed systems and blockchain. Related work listed by the research group addresses federated learning, contribution attribution, robustness and verification.

Research and released software

Research publications provide context for the broader technical direction. They are not a feature list for the current Rizemind release or its Arc deployment.

Treat a research mechanism as an implemented capability only when the applicable release, module, configuration and verification procedure are documented.

Selected research

BlockFed. Research on hierarchical weighted aggregation for federated learning. See the 2025 research record.

RzkFL. Research combining federated learning with recursive zero-knowledge proofs for verifiable inference. See the research record. This reference is research context, not evidence that inference verification is enabled in the documented Rizemind deployment.

Further reading

• T-RIZE research chair at ETS

• Kaiwen Zhang at ETS

• Kaiwen Zhang’s research profile

• FUSEE research group’s bibliography

For the software, return to Architecture and verification or the documented Arc deployment.