Federated Personalized Eye Scanpath
Federated Learning + Trustworthy ML
Eye Scanpaths Are Unique to Individuals, for instance, Novices scan more; experts jump directly to relevant areas. Personalized scanpaths help Prioritize content in areas of predicted attention.
Gaze Data is Highly Sensitive and Privacy-Critical as Eye movements can reveal User identity (biometric pat- terns), Cognitive states (confusion, interest, fatigue), User intent (what they focus on).
In traditional training, multiple users’ raw gaze data would have to be directly shared together to the trainer model. This exposes different user’s data to the trainer.
• Legal & Ethical Constraints: Regulations like GDPR and HIPAA discourage or ban collection of personally identifiable data like gaze traces unless explicitly consented, which is hard to enforce at scale.




You can also put regular text between your rows of images. Say you wanted to write a little bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal its glory in the next row of images.


The code is simple. Just wrap your images with <div class="col-sm">
and place them inside <div class="row">
(read more about the Bootstrap Grid system). To make images responsive, add img-fluid
class to each; for rounded corners and shadows use rounded
and z-depth-1
classes. Here’s the code for the last row of images above:
<div class="row justify-content-sm-center">
<div class="col-sm-8 mt-3 mt-md-0">
{% include figure.liquid path="assets/img/6.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
<div class="col-sm-4 mt-3 mt-md-0">
{% include figure.liquid path="assets/img/11.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
</div>