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:
- ☆16Feb 28, 2023Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Oct 12, 2025Updated last year
- [ICML 2025] The Official implementation of our paper "Clients Collaborate: Flexible Differentially Private Federated Learning with Guaran…☆23Dec 21, 2025Updated 10 months ago
- [PoPETS 2024] Source code of FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations☆11Jul 3, 2024Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 4 years ago
- Codes for paper "ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations"☆17May 22, 2024Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years 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 2 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- [NeurIPS 2023] Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆91Sep 10, 2024Updated 2 years ago
- ☆21Sep 20, 2022Updated 4 years ago
- 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.
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆24May 22, 2024Updated 2 years ago
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆77Feb 22, 2022Updated 4 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆16Feb 17, 2023Updated 3 years ago
- Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation☆10Jun 29, 2021Updated 5 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Dec 11, 2024Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 5 years ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆31Jan 1, 2024Updated 2 years ago
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 7 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11May 6, 2026Updated 6 months ago
- 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.
- 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
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- The code for paper FedCL: Federated Contrastive Learning for Multi-center Medical Image Classification.☆24Jun 8, 2023Updated 3 years ago
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 10 months ago
- ☆23Jul 19, 2021Updated 5 years ago
- ☆13Jun 20, 2022Updated 4 years ago
- ☆71Jun 7, 2022Updated 4 years ago
- ☆55Jun 30, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆18Aug 5, 2024Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- FedCS:Coreset selection for Federated Learning (CVPR2025)☆11Oct 22, 2026Updated 2 weeks ago
- Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Le…☆13May 23, 2025Updated last year
- ☆11Feb 19, 2022Updated 4 years ago
- Code for the AACL 2022 Paper "This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Cli…☆11Nov 18, 2022Updated 3 years ago
- Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning (ACSAC 2024)☆15Aug 21, 2025Updated last year