Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
☆28Sep 2, 2020Updated 5 years ago
Alternatives and similar repositories for SplitNN-for-Vertically-Partitioned-Data
Users that are interested in SplitNN-for-Vertically-Partitioned-Data are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 6 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Sep 14, 2020Updated 5 years ago
- reveal the vulnerabilities of SplitNN☆31Jun 16, 2022Updated 3 years ago
- Privacy Preserving Vertical Federated Learning☆222Jun 1, 2023Updated 2 years ago
- Compressed Vertical Federated Learning simulation code☆16Apr 11, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Nov 26, 2019Updated 6 years ago
- PyTorch implementation of NoPeekNN☆17Aug 30, 2020Updated 5 years ago
- A curated repository for various papers in the domain of split learning.☆55Aug 21, 2024Updated last year
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆15Jul 2, 2024Updated last year
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆118Mar 15, 2021Updated 5 years ago
- A demo of vertical federated learning on simple datasets☆23Nov 21, 2020Updated 5 years ago
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Oct 24, 2017Updated 8 years ago
- An implementation of Federated Learning using Pytorch and PySyft☆14Sep 1, 2021Updated 4 years ago
- ☆13Jan 16, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Sep 19, 2023Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Dec 16, 2023Updated 2 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- Nopeek experiments☆14Jun 12, 2020Updated 5 years ago
- ☆20Jan 18, 2022Updated 4 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Mar 14, 2024Updated 2 years ago
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆28Jan 24, 2022Updated 4 years ago
- Investigating Split Learning and Federate Learning☆88May 25, 2020Updated 5 years ago
- Releasing the source code Version1.☆180Sep 16, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆13Aug 31, 2024Updated last year
- Privacy attacks on Split Learning☆43Nov 15, 2021Updated 4 years ago
- 基于多进程的期货程序化交易系统☆15Feb 26, 2021Updated 5 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 2 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- Implementation network trimming using pytorch☆15Apr 20, 2020Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆15Jul 23, 2023Updated 2 years ago
- Smart Grid State Estimation with PMUs TimeSynchronization Errors☆12Dec 1, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆19Oct 24, 2021Updated 4 years ago
- Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers☆17Oct 1, 2020Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆34Apr 29, 2021Updated 4 years ago
- Official implementation for the paper "Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy".☆11Jun 8, 2023Updated 2 years ago
- Data61' CSIRO Distributed System Security Group. We have developed this algorithm to explore the question - Can We Use Split Learning on …☆12Jan 23, 2024Updated 2 years ago
- Two-party Privacy-preserving Neural Network Training using Split Learning and Homomorphic Encryption (CKKS Scheme)☆11Sep 23, 2025Updated 6 months ago
- Open source library for state estimation of a distribution network modeled in OpenDSS☆14Apr 27, 2023Updated 2 years ago