3 citations · 3 across the 4 of their papers we have counts for
4 papers
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression
Junliang Lyu, Yixuan Zhang, Xiaoling Lu +1
This work addresses a key limitation in current federated learning approaches, which predominantly focus on homogeneous tasks, neglecting the task diversity on local devices. We pr…
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang +3
Machine learning algorithms often struggle to eliminate inherent data biases, particularly those arising from unreliable labels, which poses a significant challenge in ensuring fai…
Investigating HMIs to Foster Communications between Conventional Vehicles and Autonomous Vehicles in Intersections
Lilit Avetisyan, Aditya Deshmukh, X. Jessie Yang +1
In mixed traffic environments that involve conventional vehicles (CVs) and autonomous vehicles (AVs), it is crucial for CV drivers to maintain an appropriate level of situation awa…
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving
Jackie Ayoub, Lilit Avetisyan, Mustapha Makki +1
Understanding how trust is built over time is essential, as trust plays an important role in the acceptance and adoption of automated vehicles (AVs). This study aimed to investigat…