Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
☆13Jun 21, 2021Updated 5 years ago
Alternatives and similar repositories for Secure-aggregation-for-federated-learning
Users that are interested in Secure-aggregation-for-federated-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Jan 15, 2026Updated 7 months 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
- Secure Aggregation for FL☆39Nov 25, 2023Updated 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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- A secure aggregation system for private federated learning☆53Mar 21, 2026Updated 5 months ago
- Code release for MPCViT accepted by ICCV 2023☆17Jan 6, 2025Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Aug 4, 2019Updated 7 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆18May 5, 2026Updated 4 months ago
- A compiled list of resources and materials for PPML☆13May 10, 2025Updated last year
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 5 years ago
- 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.
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆11Jul 27, 2022Updated 4 years ago
- Official implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022☆21Mar 12, 2024Updated 2 years ago
- ☆19Oct 24, 2021Updated 4 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- Private and Reliable Neural Network Inference (CCS '22)☆22Jul 11, 2023Updated 3 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
- Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning (ACSAC 2024)☆15Aug 21, 2025Updated last year
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 5 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.
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 4 years ago
- FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks☆26Jun 20, 2024Updated 2 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
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆44Aug 31, 2025Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 4 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Oct 1, 2019Updated 6 years ago
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆12Dec 17, 2024Updated last year
- Privacy-preserving machine learning for small molecule data using fully homomorphic encryption.☆13Mar 2, 2026Updated 6 months ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Apr 16, 2023Updated 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.
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆134Sep 30, 2024Updated last year
- Secure aggregation protocol for TensorFlow Federated☆24Aug 19, 2020Updated 6 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
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 4 years ago
- Learning from history for Byzantine Robustness☆27Jun 11, 2021Updated 5 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆184Feb 27, 2023Updated 3 years ago
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Jan 15, 2025Updated last year