Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd
☆28Jan 24, 2022Updated 4 years ago
Alternatives and similar repositories for SplitLearning
Users that are interested in SplitLearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated repository for various papers in the domain of split learning.☆54Aug 21, 2024Updated 2 years ago
- Investigating Split Learning and Federate Learning☆85May 25, 2020Updated 6 years ago
- Simple Python Socket-based Split Learning technique using PyTorch☆14Mar 13, 2020Updated 6 years ago
- Releasing the source code Version1.☆184Sep 16, 2021Updated 5 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆112Mar 15, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)☆20Mar 8, 2022Updated 4 years ago
- ☆14Jan 16, 2025Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆46Apr 12, 2023Updated 3 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆17Jul 23, 2023Updated 3 years ago
- Privacy attacks on Split Learning☆45Nov 15, 2021Updated 4 years ago
- Split Learning Simulation Framework for LLMs☆41Sep 10, 2024Updated 2 years ago
- Numerical Evaluation and Implementation of paper: Workflow Optimization for paper Parallel Split Learning (IEEE INFOCOM 2024).☆24Jul 15, 2026Updated 3 months ago
- Supplementary code for the paper "UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Lear…☆16Nov 10, 2022Updated 3 years ago
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆17Oct 18, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official Repository for ResSFL (accepted by CVPR '22)☆28Jun 24, 2022Updated 4 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Sep 2, 2020Updated 6 years ago
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Oct 24, 2017Updated 9 years ago
- Pytorch-based early exit network inspired by branchynet☆36May 13, 2025Updated last year
- reveal the vulnerabilities of SplitNN☆33Jun 16, 2022Updated 4 years ago
- Framework that supports federated split learning with multiple hops that enables pipeline parallelism.☆16Jun 17, 2026Updated 4 months ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Mar 14, 2024Updated 2 years ago
- ☆37May 28, 2024Updated 2 years ago
- ☆36Nov 1, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is official code for ASFL.☆22Mar 3, 2025Updated last year
- This repository includes the official project of SplitAVG, from our paper "SplitAVG: A heterogeneity-aware federated deep learning method…☆22Dec 9, 2023Updated 2 years ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆26Oct 8, 2026Updated 3 weeks ago
- ☆20Jan 18, 2022Updated 4 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆29Jun 22, 2020Updated 6 years ago
- [AAAI 2025] This repo is the official implementation of paper "SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning"☆25Apr 20, 2025Updated last year
- ☆12Oct 18, 2022Updated 4 years ago
- ☆12May 19, 2025Updated last year
- The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"☆36Mar 29, 2023Updated 3 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.
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Sep 14, 2020Updated 6 years ago
- Reinforcement-learning based Congestion control for WebRTC☆11Jul 24, 2024Updated 2 years ago
- Open source library for state estimation of a distribution network modeled in OpenDSS☆14Apr 27, 2023Updated 3 years ago
- ☆10Apr 19, 2021Updated 5 years ago
- ☆11Oct 28, 2021Updated 5 years ago
- Federated Learning of Diffusion Models☆14Aug 30, 2023Updated 3 years ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆23Apr 28, 2025Updated last year