We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)
☆21May 26, 2025Updated last year
Alternatives and similar repositories for Fed-DP
Users that are interested in Fed-DP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- ☆16Dec 11, 2023Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆93Sep 10, 2024Updated last year
- A simulation showcasing federated learning with homomorphic encryption☆10Sep 24, 2023Updated 2 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 5 years ago
- 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 of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 5 months ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 5 years ago
- Differentially Private Deep Learning in PyTorch☆30Sep 27, 2021Updated 4 years ago
- Respiratory Disorder Classification Based on Lung Auscultation sounds☆13Oct 22, 2024Updated last year
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆389Sep 2, 2025Updated 10 months ago
- ☆12Dec 11, 2020Updated 5 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 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.
- ☆14Jul 11, 2023Updated 3 years ago
- Blockchain federated learning simulate by python☆10May 29, 2023Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆425Oct 26, 2024Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- A blockchain-enable decentralized federated learning implement☆12Jul 10, 2023Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Oct 12, 2025Updated 9 months ago
- Example of Flower and Opacus framework working together☆12Aug 24, 2021Updated 4 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 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.
- Codes of PrivateKT☆15May 7, 2023Updated 3 years ago
- Codes for paper "ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations"☆17May 22, 2024Updated 2 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.☆15Sep 22, 2022Updated 3 years ago
- ☆16Dec 7, 2023Updated 2 years ago
- ☆19Sep 8, 2023Updated 2 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- OpenCV&YOLOv5的车流量统计系统(源码&部署教程)☆24Nov 12, 2023Updated 2 years ago
- 监控视角下车辆检测和测速☆22Apr 30, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Secure and utility-aware data collection with condensed local differential privacy☆17Apr 13, 2020Updated 6 years ago
- ☆16Sep 12, 2023Updated 2 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Jun 9, 2022Updated 4 years ago
- ☆14Nov 12, 2024Updated last year
- ☆13Dec 13, 2023Updated 2 years ago
- ☆19Dec 12, 2023Updated 2 years ago
- DualGNN: Dual Graph Neural Network for Micro-video Recommendation☆17Apr 8, 2026Updated 3 months ago