Antonious-Grigis / Shuffled-Model-of-Differential-Privacy-in-Federated-LearningLinks
Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
☆18Updated 2 years ago
Alternatives and similar repositories for Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
Users that are interested in Shuffled-Model-of-Differential-Privacy-in-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- ☆19Updated last year
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆83Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆74Updated 8 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- ☆35Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆32Updated 7 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆11Updated 3 years ago
- ☆14Updated last year
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- ☆15Updated last year
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆22Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆38Updated last year
- Asynchronous Federated Learning☆19Updated 3 years ago
- ☆12Updated 2 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 2 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆40Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- ☆37Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year