fanxlxmu Goto Github PK
Name: Xiaoliang Fan (old repository)
Type: User
Bio: Please refer to my new repository. https://xiaoliangfan.github.io
Location: Xiamen, Fujian, China
Name: Xiaoliang Fan (old repository)
Type: User
Bio: Please refer to my new repository. https://xiaoliangfan.github.io
Location: Xiamen, Fujian, China
Paper collection about fairness-aware federated learning
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
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).
This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
MGFN: Multi-Graph Fusion Networks for Urban Region Embedding (MGFN, https://arxiv.org/pdf/2201.09760.pdf) was accepted by IJCAI-2022.
The code and data for "Predicting the spread of COVID-19 in China with human mobility data"
RDC-GVFL: A Robust Detection and Correction Framework for GNN-based Vertical Federated Learning was accepted by PRCV 2023 Conference.
STPC-Net: Learn Massive Geo-sensory Data as Spatio-Temporal Point Clouds
Automatically exported from code.google.com/p/webglore
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