A unified framework for privacy-preserving data analysis and machine learning
split-learning 开源项目推荐(45 个)
split-learning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 45 个仓库SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
Split Learning Simulation Framework for LLMs
reveal the vulnerabilities of SplitNN
Official Repository for ResSFL (accepted by CVPR '22)
Numerical Evaluation and Implementation of paper: Workflow Optimization for paper Parallel Split Learning (IEEE INFOCOM 2024).
Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"
Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".
Framework that supports federated split learning with multiple hops that enables pipeline parallelism.
Supplementary code for the paper "SplitGuard: Detecting and MitigatingTraining-Hijacking Attacks in Split Learning"
通过数据选择提升多设备联邦学习效率
Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)
Simple Split Learning setup. Proof of Concept & testbed
该项目在 GitHub 上没有填写描述
Fine-tuning multimodal models using parallel split learning.
Federated Split Learning via Smashed Activation Gradient Estimation
testing adhocSL
Split learning framework for PyTorch — partition a model across devices and train end-to-end without any single node holding the full model.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/split-learning。
- 该话题在 GitHub 上共有 45 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3177 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
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