A foundational platform that primarily shares federated learning, differential privacy content
☆27Mar 19, 2025Updated last year
Alternatives and similar repositories for federated_learning_differential_privacy
Users that are interested in federated_learning_differential_privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆20May 26, 2025Updated last year
- wx☆11Aug 14, 2022Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆34Apr 29, 2021Updated 5 years ago
- ☆19Feb 5, 2025Updated last year
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆386Sep 2, 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.
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- ☆18Feb 20, 2024Updated 2 years ago
- Intel Paillier Cryptosystem Library is an open-source library which provides accelerated performance of a partial homomorphic encryption …☆57Jun 30, 2025Updated 11 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆423Oct 26, 2024Updated last year
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Feb 17, 2022Updated 4 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆35Dec 18, 2022Updated 3 years ago
- Differential private machine learning☆201Feb 10, 2022Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of dp-based federated learning framework using PyTorch☆321Jan 3, 2026Updated 5 months ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Oct 27, 2024Updated last year
- FL-based intrusion detection system development using model averaging.☆46Dec 18, 2022Updated 3 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆22Nov 19, 2021Updated 4 years ago
- ☆13Oct 21, 2020Updated 5 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 2022Updated 3 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆38May 1, 2023Updated 3 years ago
- Respiratory Disorder Classification Based on Lung Auscultation sounds☆13Oct 22, 2024Updated last year
- Blockchain federated learning simulate by python☆10May 29, 2023Updated 3 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.
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆51Jul 3, 2023Updated 2 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- Example of Flower and Opacus framework working together☆12Aug 24, 2021Updated 4 years ago
- Implementation of "Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures"☆14Jan 21, 2026Updated 4 months ago
- ☆11Nov 21, 2022Updated 3 years ago
- ☆11Jul 21, 2024Updated last year
- ☆16Dec 11, 2023Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- ☆10Dec 8, 2018Updated 7 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.
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 18, 2023Updated 3 years ago
- 《信息内容安全》课程设计——搜索引擎☆13Jan 19, 2020Updated 6 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- Code for ijcai-24 paper "Federated Adaptation for Foundation Model-based Recommendations"☆12Apr 18, 2025Updated last year
- A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)☆11Jun 10, 2020Updated 6 years ago
- We will implement this framework.☆32Jun 7, 2022Updated 4 years ago
- PyTorch implementation of Grad-CAM☆12Mar 20, 2020Updated 6 years ago