Distributed Artificial Intelligent Systems

RISE is exploring edge AI components that are:

• Self-organizing
• Energy efficient
• Private by design

Privacy-Preserving Methods

The research uses privacy-preserving federated learning methods, for example in speech emotion recognition applications.

Design Principles

These distributed AI systems are designed to process data locally where it’s generated, reducing the need to transmit sensitive information while still enabling collaborative learning across devices.

Impact

This approach enables AI capabilities in contexts where data privacy is paramount, opening new possibilities for AI deployment in sensitive domains.