XinyiYS / Robust-and-Fair-Federated-Learning
Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".
☆33Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Robust-and-Fair-Federated-Learning
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆116Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆26Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆42Updated last year
- Accenture Labs Federated Learning☆94Updated 8 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- ☆38Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- fully ready experiments☆34Updated 2 years ago
- ☆30Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆53Updated 2 months ago
- A sybil-resilient distributed learning protocol.☆94Updated last year
- ☆37Updated 9 months ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆69Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆137Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 11 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- ☆36Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 4 months ago