MetisPrometheus / MSc-thesis-xmkckksLinks
☆14Updated 2 years ago
Alternatives and similar repositories for MSc-thesis-xmkckks
Users that are interested in MSc-thesis-xmkckks are comparing it to the libraries listed below
Sorting:
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆72Updated 2 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Updated 3 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆93Updated 6 years ago
- personal implementation of secure aggregation protocol☆48Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆46Updated 2 years ago
- Federated learning used to detect credit card fraud☆13Updated 5 years ago
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆32Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆26Updated 3 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 4 years ago
- Paper Notes in MPC with Applications to PPML☆71Updated last year
- A simulation showcasing federated learning with homomorphic encryption☆11Updated 2 years ago
- Symmetric Homomorphic Encryption☆10Updated 3 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- 基于同态加密的联邦学习安全聚合系统☆47Updated 4 years ago
- Repository for collection of research papers on multi-party learning.☆34Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 6 years ago
- Paper notes and code for differentially private machine learning☆375Updated 3 months ago
- Single & Multi Key Homomorphic Encryption Library☆19Updated 3 years ago
- This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning f…☆118Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆26Updated 9 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Updated 4 years ago