27 citations · 29 across the 2 of their papers we have counts for
3 papers
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
Siddharth Divi, Yi-Shan Lin, Habiba Farrukh +1
In Federated Learning (FL), the clients learn a single global model (FedAvg) through a central aggregator. In this setting, the non-IID distribution of the data across clients rest…
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
Yi-Shan Lin, Wen-Chuan Lee, Z. Berkay Celik
EXplainable AI (XAI) methods have been proposed to interpret how a deep neural network predicts inputs through model saliency explanations that highlight the parts of the inputs de…
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh +2
Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively…