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 6 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.☆38May 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 6 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.
- 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 4 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 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆38Jul 16, 2020Updated 6 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- Materials about Privacy-Preserving Machine Learning☆264Feb 2, 2026Updated 5 months ago
- Cerebro: A platform for Secure Coopetitive Learning☆24Sep 9, 2021Updated 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
- 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.
- Privacy -preserving Neural Networks☆78Dec 21, 2018Updated 7 years ago
- 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
- An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties☆93Jul 20, 2023Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆26Dec 6, 2022Updated 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.
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 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☆211Feb 27, 2026Updated 4 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 3 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.☆18Sep 10, 2025Updated 10 months ago
- ABY - A Framework for Efficient Mixed-protocol Secure Two-party Computation☆495Jul 17, 2026Updated last week
- ☆35Oct 12, 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.
- ☆35Oct 21, 2020Updated 5 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
- Federated learning with model quantization☆16Nov 28, 2021Updated 4 years ago
- Circuit PSI using garbled cuckoo filter☆11Dec 21, 2022Updated 3 years ago
- Early prototype of zero-knowledge verifiable ML benchmarks☆15Nov 15, 2024Updated last year