csl-cqu / Roubst-and-Privacy-preserving-Federated-Learning-SystemLinks
☆13Updated 3 years ago
Alternatives and similar repositories for Roubst-and-Privacy-preserving-Federated-Learning-System
Users that are interested in Roubst-and-Privacy-preserving-Federated-Learning-System are comparing it to the libraries listed below
Sorting:
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆11Updated 4 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 5 years ago
- ☆28Updated 2 years ago
- Membership Inference Attack on Federated Learning☆12Updated 3 years ago
- ☆15Updated last year
- Byzantine-robust Federated Learning☆16Updated last year
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆38Updated last year
- Secure Aggregation for FL☆35Updated last year
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆30Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 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
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆32Updated 8 months ago
- A sybil-resilient distributed learning protocol.☆104Updated last year
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆31Updated last week
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last month
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22Updated 4 years ago