yiliucs / Secure-aggregation-for-federated-learning
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
☆11Updated 3 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
Sorting:
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆33Updated 4 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆38Updated last year
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- ☆15Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 7 months ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆45Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- Membership Inference Attack on Federated Learning☆12Updated 3 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆29Updated 3 months ago
- Byzantine-robust Federated Learning☆16Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆82Updated 2 years ago
- ☆28Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆20Updated 11 months ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆30Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- ☆37Updated last year
- ☆35Updated 3 years ago