Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
☆13Jun 21, 2021Updated 4 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 3 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☆38Nov 25, 2023Updated 2 years ago
- Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.☆10Jul 1, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆18Sep 10, 2025Updated 7 months ago
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- Code release for MPCViT accepted by ICCV 2023☆16Jan 6, 2025Updated last year
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆22May 23, 2024Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Aug 4, 2019Updated 6 years ago
- A secure aggregation system for private federated learning☆52Mar 21, 2026Updated 3 weeks ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- A compiled list of resources and materials for PPML☆12May 10, 2025Updated 11 months ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Aug 2, 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.
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 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
- 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
- Private and Reliable Neural Network Inference (CCS '22)☆22Jul 11, 2023Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 4 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks☆27Jun 20, 2024Updated last year
- 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.
- Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning☆15Aug 21, 2025Updated 7 months ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 3 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆37Oct 1, 2019Updated 6 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Apr 16, 2023Updated 3 years ago
- Privacy preserving machine learning for small molecule data☆13Mar 2, 2026Updated last month
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆133Sep 30, 2024Updated last year
- Secure aggregation protocol for TensorFlow Federated☆24Aug 19, 2020Updated 5 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 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.
- Learning from history for Byzantine Robustness☆26Jun 11, 2021Updated 4 years ago
- Accepted at MLNCP NeurIPS 2024: QFed+FHE: Quantum Federated Learning with Secure Fully Homomorphic Encryption (FHE)☆15Dec 27, 2024Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Jan 15, 2025Updated last year
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆11Jan 15, 2025Updated last year
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆181Feb 27, 2023Updated 3 years ago
- News in Privacy-Preserving Machine Learning☆12Feb 5, 2020Updated 6 years ago