This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)
☆24Jun 9, 2020Updated 5 years ago
Alternatives and similar repositories for hybrid-approach-to-ppfl
Users that are interested in hybrid-approach-to-ppfl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 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.
- ☆12Sep 12, 2021Updated 4 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆22May 23, 2024Updated last year
- A Simulator for Privacy Preserving Federated Learning☆95Jan 12, 2021Updated 5 years ago
- Secure Aggregation for FL☆39Nov 25, 2023Updated 2 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Dec 15, 2020Updated 5 years ago
- [Nature Machine Intelligence' 21] "Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence"☆33Dec 8, 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.
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Jun 2, 2022Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- Repository for Federated Learning with Differential Privacy☆11May 28, 2022Updated 3 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Sep 12, 2021Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".☆11May 4, 2023Updated 3 years ago
- Interactive proof-of-concept of the Dual_EC_DRBG backdoor☆20Sep 8, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Membership inference against Federated learning.☆10May 30, 2021Updated 4 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆29Jan 24, 2023Updated 3 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- ☆44Nov 23, 2021Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆320Jan 3, 2026Updated 4 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- ☆13Aug 29, 2024Updated last year
- 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.
- TensorFlow experiment codes of XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning (FL' ICML 2020)☆13Aug 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
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 3 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆18Sep 10, 2025Updated 8 months ago
- Implementation of "Reading in the Dark: Classifying Encrypted Digits with Functional Encryption"☆22Jul 6, 2023Updated 2 years ago
- Code for Intel & MobileODT Cervical Cancer Screening competition on Kaggle https://www.kaggle.com/c/intel-mobileodt-cervical-cancer-scree…☆16Apr 10, 2017Updated 9 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆27Apr 9, 2021Updated 5 years ago