nin-ed / Split-Learning
☆8Updated 4 years ago
Alternatives and similar repositories for Split-Learning:
Users that are interested in Split-Learning are comparing it to the libraries listed below
- ☆17Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 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
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆108Updated 4 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 3 years ago
- 完全去中心化联邦学习☆26Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 5 months ago
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆22Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆27Updated 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
- ☆52Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆28Updated last year
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆72Updated last month
- Investigating Split Learning and Federate Learning☆82Updated 4 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- An implementation of pneumonia medical X-ray image classification problem using Federated Learning in PySyft.☆13Updated 5 years ago
- fully ready experiments☆36Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆42Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated 9 months ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 9 months ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago