Secure Aggregation for FL
☆39Nov 25, 2023Updated 2 years ago
Alternatives and similar repositories for SAFELearn
Users that are interested in SAFELearn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Jan 15, 2026Updated 7 months ago
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37May 1, 2023Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Aug 4, 2019Updated 7 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.
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 5 years ago
- A secure aggregation system for private federated learning☆53Mar 21, 2026Updated 5 months ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆27Aug 22, 2022Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- Materials about Privacy-Preserving Machine Learning☆265Feb 2, 2026Updated 7 months ago
- Cerebro: A platform for Secure Coopetitive Learning☆24Sep 9, 2021Updated 4 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.
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- ☆12Oct 19, 2020Updated 5 years ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆24Apr 28, 2025Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 7 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 6 years ago
- A python library providing several polynomial-based Private Set Intersection protocols.☆46Oct 19, 2014Updated 11 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- Code release for MPCViT accepted by ICCV 2023☆17Jan 6, 2025Updated last year
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆94Jul 20, 2023Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆26Dec 6, 2022Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- A Three Party MPC framework for Machine learning and Databases☆212Feb 27, 2026Updated 6 months ago
- ☆37Jun 28, 2013Updated 13 years ago
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆11Jul 27, 2022Updated 4 years ago
- ☆19Feb 20, 2024Updated 2 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆19Aug 3, 2026Updated last month
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆497Jul 17, 2026Updated last month
- 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.
- Code for Double Blind CollaborativeLearning (DBCL)☆14May 14, 2021Updated 5 years ago
- ☆35Oct 12, 2022Updated 3 years ago
- ☆35Oct 21, 2020Updated 5 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
- ☆15Jan 16, 2024Updated 2 years ago
- Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.☆10Jul 1, 2024Updated 2 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Oct 1, 2019Updated 6 years ago