najeebjebreel / LFighterLinks
This repository contains PyTorch implementation of the paper ''LFighter: Defending against Label-flipping Attacks in Federated Learning''.
☆14Updated last year
Alternatives and similar repositories for LFighter
Users that are interested in LFighter are comparing it to the libraries listed below
Sorting:
- Differentially Private Federated Learning on Heterogeneous Data☆66Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 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
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 7 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- ☆54Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Accenture Labs Federated Learning☆104Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆55Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆42Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆169Updated 2 years ago
- ☆29Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 8 months ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆143Updated 5 months ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago