XinyiYS / Robust-and-Fair-Federated-LearningLinks
Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".
☆37Updated last year
Alternatives and similar repositories for Robust-and-Fair-Federated-Learning
Users that are interested in Robust-and-Fair-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆86Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆204Updated 4 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆55Updated last month
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆152Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆106Updated 2 months ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆32Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆88Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆153Updated 9 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- ☆39Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆180Updated 4 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 4 years ago
- ☆20Updated 2 years ago
- ☆32Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago