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apijsonauto

自动化接口管理工具，自动生成代码、自动静态检查、自动化回归测试、自动生成文档与注释等。

articles

Documents and source code. About how to begin to learn algorithm and csharp. It is easy to understand if you have C/C++ or other programming language knowledge.

bkd_fedgnn

Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"

community-detection-mtfl

🔬 本项目为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习的新方法，该方法的特点是基于社区检测来进行聚类簇的动态划分。

computer_graphics

华中科技大学《计算机图形学》MOOC课程实验 ——万琳老师

ctgan

Conditional GAN for generating synthetic tabular data.

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).

easyfl-1

An easy-to-use federated learning platform

federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

fedgs

FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

fedlab-benchmarks

Standard federated learning implementations in FedLab and FL benchmarks.

fedpergnn

code of FedGNN

fedxgboost-mpi4py

Secured Federated Learning XGBoost - This project provides the implementation of FL XGBoost in python, which allows the fast prototyping of scecured protocols.

kfed

KFedExps -> kfed

labs-federated-learning

Accenture Labs Federated Learning

mp-fedxgb

An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization

multimodal-federated-learning-on-iot-data

naist-fedml-experiments

pfl-non-iid

Personalized federated learning simulation platform with non-IID and unbalanced dataset

protokd

[ICASSP 2023] Prototype Knowledge Distillation for Medical Segmentation with Missing Modality

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

secure-kmean-clustering

Practical Privacy-Preserving K-means Clustering (PETS-2020)

weixin-java-tools

全能微信Java开发工具包，支持包括微信支付、开放平台、小程序、企业号和公众号等的开发