A PyTorch based repository for Federate Learning with Differential Privacy
☆19Mar 3, 2023Updated 3 years ago
Alternatives and similar repositories for CENTAUR-Privacy-Federated-Representation-Learning
Users that are interested in CENTAUR-Privacy-Federated-Representation-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 3 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- ☆16Feb 28, 2023Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- ☆13May 17, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆55Oct 12, 2025Updated 7 months ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated last year
- [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement☆10Mar 25, 2024Updated 2 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆20Dec 24, 2023Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Oct 29, 2021Updated 4 years ago
- Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation☆10Jun 29, 2021Updated 4 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Dec 11, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 6 years ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆17Jan 4, 2023Updated 3 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11May 6, 2026Updated 3 weeks ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆16Jan 21, 2024Updated 2 years ago
- ☆23Jul 19, 2021Updated 4 years ago
- 武汉大学本科毕设代 码--图联邦学习系统设计与实现☆14Jun 5, 2023Updated 2 years ago
- ☆54Jun 30, 2023Updated 2 years ago
- ☆72Jun 7, 2022Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆92Sep 10, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 5 months ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆28Feb 23, 2023Updated 3 years ago
- ☆17Aug 5, 2024Updated last year
- Contains the source code of our Middleware'24 paper "QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation"☆15Oct 2, 2024Updated last year
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 2024Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22May 6, 2021Updated 5 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆27Jan 18, 2023Updated 3 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆16Feb 2, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆13Dec 26, 2024Updated last year
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆12Feb 11, 2026Updated 3 months ago
- A PyTorch implementation of ClipPrompt based on CVPR 2023 paper "CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained…☆18Nov 5, 2023Updated 2 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 18, 2023Updated 3 years ago
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆13Mar 12, 2026Updated 2 months ago
- The official implementation of CVPR 2025 paper "Invisible Backdoor Attack against Self-supervised Learning"