YMJS-Irfan / DP-FedSAMLinks
This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)
☆48Updated last year
Alternatives and similar repositories for DP-FedSAM
Users that are interested in DP-FedSAM are comparing it to the libraries listed below
Sorting:
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆74Updated 8 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆40Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- ☆38Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆83Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- Simplified Implementation of FedPAC☆56Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- ☆37Updated 4 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆17Updated 3 months ago
- ☆12Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆144Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆32Updated 7 months ago
- Accenture Labs Federated Learning☆102Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated 2 years ago
- ☆64Updated 7 months ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 7 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆15Updated 4 months ago
- ☆40Updated last year
- ☆22Updated last year
- Pytorch implementations of some general federated optimization methods.☆41Updated 7 months ago
- ☆29Updated last year
- ☆55Updated 2 years ago
- fully ready experiments☆39Updated 2 years ago
- ☆29Updated 2 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆38Updated 3 weeks ago