ZhangIvan1 / Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-SensingView on GitHub
The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"
☆21May 23, 2024Updated 2 years ago
Alternatives and similar repositories for Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-Sensing
Users that are interested in Efficient-Privacy-Preserving-Federated-Learning-With-Improved-Compressed-Sensing are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Decentralized Identity☆12Dec 8, 2021Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- PPA attack code☆12Aug 9, 2022Updated 4 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 4 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Oct 20, 2026Updated 2 weeks 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
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆24May 22, 2024Updated 2 years ago
- Backdoor detection in Federated learning with similarity measurement☆25Apr 30, 2022Updated 4 years ago
- ☆19Apr 12, 2023Updated 3 years ago
- ☆12Dec 26, 2024Updated last year
- A user-friendly web application to help IIIT Sri City students calculate their semester-wise GPA and CGPA.☆12Feb 21, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆11Jul 24, 2021Updated 5 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- A simulation showcasing federated learning with homomorphic encryption☆10Sep 24, 2023Updated 3 years ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆31Jan 1, 2024Updated 2 years ago
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆29Apr 15, 2025Updated last year
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆23Apr 28, 2025Updated last year
- FedCS：Coreset selection for Federated Learning (CVPR2025)☆11Oct 22, 2026Updated 2 weeks ago
- [Tensorflow] A Game Theoretic approach using GAN for Phishing URL synthesis and detection☆11Nov 14, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning (ACSAC 2024)☆15Aug 21, 2025Updated last year
- 双向身份认证系统☆10Nov 25, 2021Updated 4 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 4 years ago
- [ICLR 2025] ENERGY-BASED BACKDOOR DEFENSE AGAINST FEDERATED GRAPH LEARNING☆19Updated this week
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 5 years ago
- The implementation for "Efficient Privacy-Preserving Federated Learning for Resource-Constrained Edge Devices"☆10Oct 19, 2021Updated 5 years ago
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆15Dec 26, 2024Updated last year
- [WACV 2025] The official Pytorch implementation of MASA☆13Dec 20, 2025Updated 10 months ago
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆18Aug 14, 2023Updated 3 years ago
- SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks☆12Jun 2, 2022Updated 4 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 3 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 8 months ago
- randomized SVD with single pass over data matrix☆10Apr 23, 2023Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- Federated Model Heterogeneous Matryoshka Representation Learning (NeurIPS'24)☆13Oct 30, 2024Updated 2 years ago