krishnap25 / RFALinks
Robust aggregation for federated learning with the RFA algorithm.
☆49Updated 3 years ago
Alternatives and similar repositories for RFA
Users that are interested in RFA are comparing it to the libraries listed below
Sorting:
- A sybil-resilient distributed learning protocol.☆105Updated this week
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆197Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆58Updated 2 years ago
- ☆54Updated 4 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆70Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- ☆54Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆53Updated 2 years ago
- ☆39Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated 11 months ago
- ☆30Updated 5 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- ☆29Updated 2 years ago
- ☆43Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated 2 years ago
- ☆37Updated 3 years ago
- ☆18Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 11 months ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 5 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆303Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆67Updated 3 years ago