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awesome-fair-federated-learning

Paper collection about fairness-aware federated learning

deepstd

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

easyfl

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

fanxlxmu.github.io

Dr. Xiaoliang Fan's lab@Xiamen University

gman

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

increase

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

mgfn

MGFN: Multi-Graph Fusion Networks for Urban Region Embedding (MGFN, https://arxiv.org/pdf/2201.09760.pdf) was accepted by IJCAI-2022.

ncov_with_mobility

The code and data for "Predicting the spread of COVID-19 in China with human mobility data"

stpc-net

STPC-Net: Learn Massive Geo-sensory Data as Spatio-Temporal Point Clouds

webglore

Automatically exported from code.google.com/p/webglore

xiaoliangfan