4 papers
Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems
Yasra Chandio, Khotso Selialia, Joseph DeGol +2
Advancements in tracking algorithms have empowered nascent applications across various domains, from steering autonomous vehicles to guiding robots to enhancing augmented reality e…
Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity
Aggrey Muhebwa, Khotso Selialia, Fatima Anwar +1
Federated learning on heterogeneous (non-IID) client data experiences slow convergence due to client drift. To address this challenge, we propose Kuramoto-FedAvg, a federated optim…
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM
Yasra Chandio, Momin A. Khan, Khotso Selialia +3
Autonomous robots, autonomous vehicles, and humans wearing mixed-reality headsets require accurate and reliable tracking services for safety-critical applications in dynamically ch…
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Khotso Selialia, Yasra Chandio, Fatima M. Anwar
Federated Learning is emerging as a privacy-preserving model training approach in distributed edge applications. As such, most edge deployments are heterogeneous in nature i.e., th…