ZaquanWan's Stars
OpenMined/PySyft
Perform data science on data that remains in someone else's server
adap/flower
Flower: A Friendly Federated AI Framework
hwanz/SSR-V2ray-Trojan
机场推荐与机场评测
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
linhandev/dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
innovation-cat/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
TsingZ0/PFLlib
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
FederatedAI/Practicing-Federated-Learning
qiaofengsheng/pytorch-UNet
pytorch搭建自己的unet网络,训练自己的数据集。
TsingZ0/HtFLlib
You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
TsingZ0/FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
ngessert/isic2019
Code for the ISIC2019 Challenge
nazmul-karim170/UNICON-Noisy-Label
[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"
JackYFL/DISC
The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
tayebiarasteh/federated_he
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
HiLab-git/LCOVNet-and-KD
PediaMedAI/PIE
PIE: Simulating Disease Progression via Progressive Image Editing
vaseline555/Federated-Learning-with-Flower
Simple simulation of federated learning (FedAvg) using Flower framework
KarryRen/UML
【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
pranavsinghps1/CASS
Official PyTorch implementation of CASS, from the following paper: CASS: Cross Architectural Self-Supervision for Medical Image Analysis. arXiv 2022.
Sapienza-University-Rome/FedArtML
Federated Learning for Artificial Intelligence and Machine Learning
sjtudyq/FedConcat
Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)
andreiliphd/pneumonia-federated-pysyft
An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.
anonymously123456/MISSU
chunmeifeng/FedIns
【ICCV 2023】Towards Instance-adaptive Inference for Federated Learning
M-3LAB/FedMed-GAN
serdna1/ODIR-5K-multi-label-classification
hasanmohsin/betaPredBayesFL
Code for "Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space"
MediaBrain-SJTU/FedMR
[TMLR 2023]Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Jiyao17/fl
General multi-model test code for federated learning.