Alternatives and similar repositories for Credit-card-fraud-detection-using-Federated-Learning-and-Split-Learning

Users that are interested in Credit-card-fraud-detection-using-Federated-Learning-and-Split-Learning are comparing it to the libraries listed below

• MadeleineJansson / Master-Thesis-Federated-Learning
  Federated learning used to detect credit card fraud
  ☆13Updated 5 years ago
• janerjzou / AD_FL_DL
  Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
  ☆36Updated 3 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 4 years ago
• Gharibim / federated_learning_course
  Federated Learning Course Materials
  ☆65Updated 4 years ago
• hharcolezi / ldp-protocols-mobility-cdrs
  Implementation of local differential privacy mechanisms in Python language.
  ☆29Updated 3 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆35Updated 4 years ago
• MetisPrometheus / MSc-thesis-xmkckks
  ☆14Updated 2 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆314Updated this week
• ongzh / ScaffoldFL
  Implementation of Scaffold and Fedprox for Federated Learning using PyTorch
  ☆23Updated 3 years ago
• Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-pi
  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
  ☆116Updated 4 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆85Updated 2 years ago
• AdamWei-boop / Federated-Learning-with-Local-Differential-Privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆46Updated 3 years ago
• eceisik / ece_fl_public
  ☆54Updated 3 years ago
• louwenxiao / Cluster_Federated_Learning
  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 3 years ago
• PratikGarai / MNIST-Federated
  Experiments on MNIST dataset and federated training using Flower framework
  ☆41Updated last month
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆79Updated 3 years ago
• Practicing-Federated-Learning-for-IoT / FedGRU
  ☆19Updated 3 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆70Updated 3 years ago
• stijani / tutorial
  Contains codes for my published tutorials
  ☆31Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆77Updated last year
• Willjay5991 / federatedLearning-DP-my
  联邦学习分布式训练MNist数据集
  ☆62Updated 6 years ago
• chamathpali / FedSim
  Similarity Guided Model Aggregation for Federated Learning
  ☆25Updated 3 years ago
• ayushm-agrawal / Federated-Learning-Implementations
  This repository contains all the implementation of different papers on Federated Learning
  ☆42Updated 5 years ago
• abogdanova / FL-MIA
  Federated Learning and Membership Inference Attacks experiments on CIFAR10
  ☆23Updated 5 years ago
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆68Updated last year
• leileidudu / FedSGD
  Federated learning via stochastic gradient descent
  ☆36Updated 5 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆45Updated 3 years ago
• mania087 / HAR-Federated-Transfer-Learning-in-Pytorch
  This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
  ☆27Updated last year
• tjdghks994 / FedPSO
  FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
  ☆19Updated 3 years ago
• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆40Updated 3 years ago