Federated Learning Biases in Heterogeneous Edge-Devices: A Case-Study. - Khotso Selialia; Yasra Chandio; Fatima M. Anwar 001 (SenSys, 2022)

Mitigating Group Bias in Federated Learning for Heterogeneous Devices. - Khotso Selialia; Yasra Chandio; Fatima M. Anwar 001 (FAccT, 2024)

A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM. - Yasra Chandio; Momin Ahmad Khan; Khotso Selialia; Luis Garcia 001; Joseph DeGol; Fatima M. Anwar 001 (IROS, 2024)

Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems. - Yasra Chandio; Khotso Selialia; Joseph DeGol; Luis Garcia 001; Fatima M. Anwar 001 (CoRR, 2024)

Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity. - Aggrey Muhebwa; Khotso Selialia; Fatima M. Anwar 001; Khalid K. Osman (CoRR, 2025)