NigeloYang / federated_learning_differential_privacy
A foundational platform that primarily shares federated learning, differential privacy content
☆22Updated 3 weeks ago
Alternatives and similar repositories for federated_learning_differential_privacy:
Users that are interested in federated_learning_differential_privacy 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…☆115Updated 6 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆63Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆27Updated 2 months ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆19Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆80Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 10 months ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆19Updated 10 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆47Updated last year
- 区块链+联邦学习+恶意检测算法☆29Updated 4 years ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- ☆33Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆68Updated 7 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- ☆39Updated last year
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- personal implementation of secure aggregation protocol☆43Updated last year
- 完全去中心化联邦学习☆27Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated last year
- ☆18Updated last year
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆10Updated 3 years ago
- Byzantine-robust Federated Learning☆16Updated last year
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆29Updated 3 years ago