Completed Theses
Edge computing offers a framework for offloading the computational effort required by IoT applications.However, privacy issues and cost constraints for cloud infrastructures pose substantial difficulties to IoT service deployment. We wish to look at the possibilities of Peer-to-Peer networks and WebAssembly for IoT task offloading. As a result, a comparison of existing offloading tactics and ...
The aim of this thesis is to build a MLOps-based system to compare the variations in the motions executed while performing various sports-related movements. In essence, we are interested in comparing movements across multiple sensor-suit based recording sessions.
Politicians are highly public individuals. A lot of data on them is available online. Many try to use social media such as Twitter to express their views, support other members of their party or interest groups, and interact with the public. Some also use it to branch out and connect to other countries’ politicians or ...
Sensor-based analysis of human kinematics is valuable for providing personalized and detailed feedback when learning complex psychomotor skills. Kinematics examines the motion of a system of objects without directly considering the underlying forces. A visualization approach for a dynamic system such as complex human motion needs to account for changes over time.In a learning scenario, ...
Anomaly detection on encrypted data in industrial control systems
In-depth investigation into Catastrophic Forgetting in Distributed Analytics using Model Averaging
Utilizing Chatbots to Gamify Learning Activities and Their Effect on Motivation
Membership Inference Attacks against Generative Models and Differential Privacy Defense
A Web Frontend for Blockchain-based Proofs of Qualification
Executing Stream Processing Operators on Programmable Networking Devices
Efficient Metadata Management in Industrial Data Lakes for High Pressure Die Casting
A Hybrid and Platform-Agnostic Stream Processing Architecture
Untersuchung der Auswirkung der Durchdringung von Messtechnik auf die Güte der Netzüberwachung
Personalized Federated Hetero-task Learning on Graph Data
Algorithmic Approaches to Overlapping Community Detection - Label Propagation Algorithm with Neighbor Node Influence
A Practical Look at Membership Inference Attacks and Differential Privacy Protection on Data with Re-occurring Information
Decentralized Identity and Access Management for Distributed Machine Learning Systems
Bridging the gap between design and deployment of statistical analyses in Distributed Analytics
Development of a Data Ecosystem Model for the Context of Procurement
Algorithmic Approaches to Overlapping Community Detection - Local Optimization Algorithm based on Cliques
Algorithmic Approaches to Overlapping Community Detection - Clustering Graphs into Subgraphs
