shenjiyuan123 / Adaptive_RecoveryLinks
Crab: Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
☆25Updated last year
Alternatives and similar repositories for Adaptive_Recovery
Users that are interested in Adaptive_Recovery are comparing it to the libraries listed below
Sorting:
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆408Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Accenture Labs Federated Learning☆105Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆40Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆311Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 3 weeks ago
- Byzantine-robust Federated Learning☆16Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆149Updated 8 months ago
- Paper notes and code for differentially private machine learning☆361Updated 2 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆51Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆32Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆130Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- ☆178Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated last year
- ☆176Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Updated last year
- ☆77Updated last year
- An implementation of Deep Learning with Differential Privacy☆26Updated 2 years ago
- Releasing the source code Version1.☆172Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- Python module for simulating gossip learning.☆41Updated last year