47 citations · 87 across the 16 of their papers we have counts for
4 papers · 1 filter
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
Kunjal Panchal, Sunav Choudhary, Nisarg Parikh +2
Personalization in Federated Learning (FL) aims to modify a collaboratively trained global model according to each client. Current approaches to personalization in FL are at a coar…
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu, Lijun Zhang, Hui Guan
Message passing neural networks (MPNNs) learn the representation of graph-structured data based on graph original information, including node features and graph structures, and hav…
Improving Subgraph Representation Learning via Multi-View Augmentation
Yili Shen, Xiao Liu, Cheng-Wei Ju +4
Subgraph representation learning based on Graph Neural Network (GNN) has exhibited broad applications in scientific advancements, such as predictions of molecular structure-propert…
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang, Xiao Liu, Hui Guan
Tree-structured multi-task architectures have been employed to jointly tackle multiple vision tasks in the context of multi-task learning (MTL). The major challenge is to determine…