lingjuanlv / FPPDLLinks
code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
☆31Updated 3 years ago
Alternatives and similar repositories for FPPDL
Users that are interested in FPPDL are comparing it to the libraries listed below
Sorting:
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- Adversarial attacks and defenses against federated learning.☆17Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 11 months ago
- ☆36Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years 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
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- ☆16Updated 6 years ago
- ☆18Updated 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
- ☆30Updated 5 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 5 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- ☆55Updated 2 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 6 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆15Updated last year
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- This repository contains PyTorch implementation of the paper ''LFighter: Defending against Label-flipping Attacks in Federated Learning''…☆14Updated last year
- Learning from history for Byzantine Robustness☆23Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- ☆30Updated 4 years ago
- Attentive Federated Learning for Private NLM☆61Updated 11 months ago