Local Differential Privacy for Federated Learning
☆19Oct 24, 2022Updated 3 years ago
Alternatives and similar repositories for LDPFL
Users that are interested in LDPFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Aug 1, 2023Updated 3 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Jul 26, 2022Updated 4 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 6 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.
- ☆15Dec 11, 2023Updated 2 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆53Feb 19, 2026Updated 7 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆426Oct 26, 2024Updated last year
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 4 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Apr 13, 2026Updated 5 months ago
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆77Feb 22, 2022Updated 4 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆50Jul 17, 2026Updated 2 months ago
- ☆10Jun 4, 2021Updated 5 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Nov 29, 2021Updated 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.
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆11Feb 13, 2020Updated 6 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 3 years ago
- User Communities with Machine Learning☆15Sep 29, 2021Updated 4 years ago
- PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning☆14Oct 9, 2022Updated 3 years ago
- Simplified implementation of federated learning in PyTorch☆32Jan 7, 2021Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- ☆12Sep 14, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆35May 23, 2021Updated 5 years ago
- Code for paper: "Privately generating tabular data using language models".☆16Jun 13, 2023Updated 3 years ago
- ☆340Updated this week
- Paper To Code implementation of NVIDIA's GauGan on a custom Landscape 's Dataset. Generating photorealistic-ish:p images from drawings☆12May 6, 2022Updated 4 years ago
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆15Mar 12, 2023Updated 3 years ago
- ☆35Oct 12, 2022Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Oct 26, 2021Updated 4 years ago
- A list Viterbo algorithm for decoding PAC codes with various code constructions/rate-profiles☆11May 6, 2022Updated 4 years ago
- Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"☆16Dec 16, 2025Updated 9 months 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.
- 移动安全指南: 移动应用程序分类, 移动应用程序安全测试, 移动应用程序篡改和逆向工程, 移动应用认证架构, 移动应用程序网络通信, 移动应用密码学, 移动应用程序代码质量, 移动应用程序用户隐私保护; Android平台概览, Android基础安全测试, Android…☆18Jul 23, 2025Updated last year
- ☆12Oct 28, 2023Updated 2 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 18, 2023Updated 3 years ago
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Oct 2, 2023Updated 2 years ago
- "Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things" (IEEE Bigdata) - Exploring resource-…☆23Apr 15, 2025Updated last year
- Provably Secure Steganography☆22Sep 13, 2025Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago