MadeleineJansson / Master-Thesis-Federated-Learning
Federated learning used to detect credit card fraud
☆13Updated 4 years ago
Alternatives and similar repositories for Master-Thesis-Federated-Learning:
Users that are interested in Master-Thesis-Federated-Learning are comparing it to the libraries listed below
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- ☆18Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆63Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 10 months ago
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Updated 5 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆19Updated 2 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆21Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆35Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 6 months ago
- 完全去中心化联邦学习☆27Updated last year
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆32Updated 3 years ago
- BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning☆32Updated 4 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 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
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆39Updated 3 years ago
- This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…☆12Updated 3 years ago
- ☆77Updated last year