Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)
☆385Sep 2, 2025Updated last year
Alternatives and similar repositories for Awesome-Differential-Privacy-and-Meachine-Learning
Users that are interested in Awesome-Differential-Privacy-and-Meachine-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:
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆423Oct 26, 2024Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆323Jan 3, 2026Updated 10 months ago
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- ☆343Sep 19, 2026Updated last month
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆173Dec 11, 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.
- Differential private machine learning☆200Feb 10, 2022Updated 4 years ago
- [NeurIPS 2023] Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆91Sep 10, 2024Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Oct 12, 2025Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Training PyTorch models with differential privacy☆1,970Sep 24, 2026Updated last month
- This repo implements several algorithms for learning with differential privacy.☆110Dec 15, 2022Updated 3 years ago
- Useful tools for differential privacy☆218Sep 11, 2022Updated 4 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,182Jan 25, 2026Updated 9 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.
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆21May 26, 2025Updated last year
- ☆15Dec 11, 2023Updated 2 years ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆2,019Oct 18, 2026Updated 3 weeks ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆134Sep 30, 2024Updated 2 years ago
- Personalized federated learning codebase for research☆413Oct 4, 2023Updated 3 years ago
- Sample LDP implementation in Python☆132Jul 26, 2023Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆48Mar 1, 2018Updated 8 years ago
- Simulate a federated setting and run differentially private federated learning.☆393Mar 7, 2025Updated last year
- 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.
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Apr 16, 2021Updated 5 years ago
- ☆36Oct 12, 2022Updated 4 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆50Oct 20, 2026Updated 2 weeks ago
- ☆46Aug 4, 2023Updated 3 years ago
- 使用tensorflow2.1实现联合学习推荐模型,并加入差分隐私噪声进行隐私保护。☆55Mar 25, 2023Updated 3 years ago
- Curated list of differential privacy libraries, courses, and readings☆330Oct 9, 2026Updated last month
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆78Feb 22, 2022Updated 4 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆17Mar 21, 2023Updated 3 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆44Apr 12, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆86Oct 23, 2024Updated 2 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,105May 30, 2024Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆920Updated this week
- ☆22Nov 2, 2022Updated 4 years ago
- ☆79May 28, 2022Updated 4 years ago
- 联邦学习☆1,155Mar 14, 2023Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated last year
Are these results useful?