Encrypted Estimation, Control and Optimization
The participants learn to independently explore and understand a given topic and present it to the other participants in a concise and coherent way.
| Intended Participants | Bachelor Students |
| Instructors | Marko Ristic, Benjamin Noack |
| SWS | 2 |
| Credits | 3 |
| Languages | English |
| Prerequisites |
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| Kick-Off |
Tuesday, 18.0.2022, 13:00 - 14:00, room TBA |
Course Description
The processing of sensor-produced data is an important task in robotics. Mobile robots, autonomous vehicles, assistance programs and many more all rely on accurate estimates process models to make safe and logical decisions. As more of these systems are beginning to rely on open networks and cloud computing, the privacy of their data is also becoming an increasing concern. Securely processing this data and developing suitable algorithms therefore plays an important role in the safe and reliable processing of sensor data.
This seminar covers state-of-the-art topics published in international conference proceedings. Students are given a recent published article and asked to study, summarize and present its contents. Examples include:
- "Privacy Enhancement of Structured Inputs in Cyber-Physical Systems"
- "Private Computation of Polynomials over networks"
- "Encrypted Distributed Lasso for Sparse Data predictive Control"
- etc.
Registration
For any additional questions regarding the project or for any issues with registration, please email