research
∙
06/21/2023
FLGo: A Fully Customizable Federated Learning Platform
Federated learning (FL) has found numerous applications in healthcare, f...
share
research
∙
02/06/2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Spatio-temporal kriging is an important problem in web and social applic...
research
∙
11/25/2022
Federated Graph-based Sampling with Arbitrary Client Availability
While federated learning has shown strong results in optimizing a machin...
research
∙
01/24/2022
Multi-Graph Fusion Networks for Urban Region Embedding
Learning the embeddings for urban regions from human mobility data can r...
research
∙
11/25/2021
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Recent studies focus on formulating the traffic forecasting as a spatio-...
research
∙
04/30/2021
Federated Learning with Fair Averaging
Fairness has emerged as a critical problem in federated learning (FL). I...
research
∙
05/09/2020
