Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"
☆29Oct 25, 2021Updated 5 years ago
Alternatives and similar repositories for MLSys2022_anonymous
Users that are interested in MLSys2022_anonymous 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
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- A secure aggregation system for private federated learning☆54Mar 21, 2026Updated 7 months ago
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- 联邦学习安全聚合代码☆13Jul 20, 2024Updated 2 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.
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- Secure Aggregation for FL☆39Nov 25, 2023Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37May 1, 2023Updated 3 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆19Aug 3, 2026Updated 2 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆28Aug 22, 2022Updated 4 years ago
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆11Jul 27, 2022Updated 4 years ago
- A working Python implementation of a Secure Aggregation protocol adapted from ”Practical Secure Aggregation for Privacy-Preserving Machin…☆13Sep 28, 2024Updated 2 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆26Dec 6, 2022Updated 3 years ago
- ☆14Jul 11, 2023Updated 3 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.
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆39Jul 16, 2020Updated 6 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
- ☆36Dec 23, 2025Updated 10 months ago
- This repo provides C++ implementation of FHE-based unbalanced private set union (PSU).☆13Jun 21, 2024Updated 2 years ago
- Hybrid Federate Learning Framework for Financial Crime Detection☆13Mar 22, 2024Updated 2 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆28Jan 18, 2023Updated 3 years ago
- ☆19Oct 24, 2021Updated 5 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Apr 16, 2023Updated 3 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.
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆49Aug 18, 2023Updated 3 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 5 years ago
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆34Jun 10, 2021Updated 5 years ago
- ☆12Sep 12, 2021Updated 5 years ago
- ☆15Dec 11, 2023Updated 2 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 5 years ago
- PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023)☆18Oct 28, 2025Updated last year
- Learning how to bulletproofs☆39Dec 22, 2018Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This course introduced me to three cutting-edge technologies for privacy-preserving AI: Federated Learning, Differential Privacy, and Enc…☆11Sep 2, 2019Updated 7 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Oct 20, 2026Updated last week
- Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.☆10Jul 1, 2024Updated 2 years ago
- ☆92May 27, 2020Updated 6 years ago
- Implementation of dp-based federated learning framework using PyTorch☆323Jan 3, 2026Updated 9 months ago
- A foundational platform that primarily shares federated learning, differential privacy content☆27Mar 19, 2025Updated last year
- Materials about Privacy-Preserving Machine Learning☆265Feb 2, 2026Updated 8 months ago