16 citations · 21 across the 11 of their papers we have counts for
11 papers
SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm for adapting large vision-language models like CLIP across decentralized clients.…
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Momin Ahmad Khan, Virat Shejwalkar, Yasra Chandio +2
While the community has designed various defenses to counter the threat of poisoning attacks in Federated Learning (FL), there are no guidelines for evaluating these defenses. Thes…
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…
Reaction Time as a Proxy for Presence in Mixed Reality with Distraction
Yasra Chandio, Victoria Interrante, Fatima M. Anwar
Distractions in mixed reality (MR) environments can significantly influence user experience, affecting key factors such as presence, reaction time, cognitive load, and Break in Pre…
Tap into Reality: Understanding the Impact of Interactions on Presence and Reaction Time in Mixed Reality
Yasra Chandio, Victoria Interrante, Fatima Anwar
Enhancing presence in mixed reality (MR) relies on precise measurement and quantification. While presence has traditionally been measured through subjective questionnaires, recent…
GroupBeaMR: Analyzing Collaborative Group Behavior in Mixed Reality Through Passive Sensing and Sociometry
Diana Romero, Yasra Chandio, Fatima Anwar +1
Understanding group behavior is crucial for enhancing collaboration and productivity in mixed reality (MR). This paper introduces a framework for group behavior analysis in MR, or…
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
Data heterogeneity among Federated Learning (FL) users poses a significant challenge, resulting in reduced global model performance. The community has designed various techniques t…
Scoping Sustainable Collaborative Mixed Reality
Yasra Chandio, Noman Bashir, Tian Guo +2
Mixed Reality (MR) is becoming ubiquitous as it finds its applications in education, healthcare, and other sectors beyond leisure. While MR end devices, such as headsets, have low…
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…
Investigating the Correlation Between Presence and Reaction Time in Mixed Reality
Yasra Chandio, Noman Bashir, Victoria Interrante +1
Measuring presence is critical to improving user involvement and performance in Mixed Reality (MR). \emph{Presence}, a crucial aspect of MR, is traditionally gauged using subjectiv…
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…