chenyiadam / FedAVG
☆19Updated 2 years ago
Alternatives and similar repositories for FedAVG:
Users that are interested in FedAVG are comparing it to the libraries listed below
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆66Updated 6 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆372Updated 5 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning f…☆108Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆295Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆246Updated 4 years ago
- 完全去中心化联邦学习☆26Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆126Updated last year
- Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.☆185Updated 3 years ago
- 区块链+联邦学习+恶意检测算法☆29Updated 4 years ago
- 使用pytorch,mnist、cifar数据集实现基础的联邦学习(平局聚合、不含加密过程)☆26Updated 3 years ago
- ☆77Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated last week
- Paper notes and code for differentially private machine learning☆352Updated 4 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 8 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆168Updated 4 years ago
- DPSUR☆26Updated 2 months ago
- 自己动手实现的联邦学习相关代码☆9Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆186Updated 3 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- Accenture Labs Federated Learning☆98Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago