2 citations · 2 across the 3 of their papers we have counts for
4 papers
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning
Xuanhua Yang, Jianxin Zhao, Shaoguo Liu +2
Multi-task learning (MTL) has been widely applied in online advertising and recommender systems. To address the negative transfer issue, recent studies have proposed optimization m…
Data Analytics Service Composition and Deployment on Edge Devices
Jianxin Zhao, Tudor Tiplea, Richard Mortier +2
Data analytics on edge devices has gained rapid growth in research, industry, and different aspects of our daily life. This topic still faces many challenges such as limited comput…
User-centric Composable Services: A New Generation of Personal Data Analytics
Jianxin Zhao, Richard Mortier, Jon Crowcroft +1
Machine Learning (ML) techniques, such as Neural Network, are widely used in today's applications. However, there is still a big gap between the current ML systems and users' requi…
Privacy-Preserving Personal Model Training
Sandra Servia-Rodriguez, Liang Wang, Jianxin R. Zhao +2
Many current Internet services rely on inferences from models trained on user data. Commonly, both the training and inference tasks are carried out using cloud resources fed by per…