one1Mouth / Awesome-Differential-Privacy-and-Federated-Learning
Bilibili丸一口的笔录
☆15Updated 2 months ago
Alternatives and similar repositories for Awesome-Differential-Privacy-and-Federated-Learning:
Users that are interested in Awesome-Differential-Privacy-and-Federated-Learning are comparing it to the libraries listed below
- ☆54Updated 3 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- PyTorch Federated Learning (easy to use and extend)☆238Updated last year
- ☆19Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆61Updated 5 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆131Updated this week
- Implement FedAvg algorithm based on Tensorflow☆239Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆139Updated this week
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆368Updated 3 months ago
- Paper notes and code for differentially private machine learning☆344Updated 2 months ago
- 完全去中心化联邦学习☆23Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆110Updated 4 months ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆34Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆64Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆58Updated 3 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆111Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆25Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated 6 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆143Updated last month
- VeryFL is an experimental federated leraning framework embedded with blockchain☆96Updated last month
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆46Updated last year
- ☆11Updated last month
- Releasing the source code Version1.☆143Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- ☆17Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- Python module for simulating gossip learning.☆36Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆21Updated 3 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆67Updated 2 years ago