scpy007's repositories
Awesome-Federated-Learning-Pruning
Every work on Federated Learning Pruning
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Cryptography
初学者怎样学习密码学Cryptography
CV_Pytorch
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
data-privacy
Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.
Electricity-theft-detection-in-smart-grids-based-on-deep-learning
The ML models used in this work for training are Utilizing CNN- based deep learning. And also compared using Logistic Regression, Decision Tree Regression, Random Forest Regression, Support Vector Machine (SVM).
Emergency-Response-Notes
应急响应实战笔记，一个安全工程师的自我修养。
fedavg_encrypt
FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential privacy and Gaussian mechanism differential privacy.
DisPFL
[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
feddst
Federated Dynamic Sparse Training
Federated-learning-algorithms
Here we will be implementing federated learning with some privacy preserving algorithms like Secure aggregation,DP,Fedavg,fedprox,and SMPC
Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
FedGen
Code and data accompanying the FedGen paper
learning-zkp
articles, codes and tools all about zero-knowledge proofs
Lightweight-federal-learning-framework
我开发的一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察
LSTM-Load-Forecasting
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
pFedLA
PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
torch_base
Quickly bring up your PyTorch project(a skeleton)
yihui.org
Personal website and discussion board of Yihui Xie