This repository includes the official project of SplitAVG, from our paper "SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging".
☆22Dec 9, 2023Updated 2 years ago
Alternatives and similar repositories for SplitAVG
Users that are interested in SplitAVG are comparing it to the libraries listed below
Sorting:
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆15Jul 23, 2023Updated 2 years ago
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 5 years ago
- Releasing the source code Version1.☆179Sep 16, 2021Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Apr 12, 2023Updated 2 years ago
- ☆48Jun 2, 2022Updated 3 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Jul 4, 2019Updated 6 years ago
- A curated repository for various papers in the domain of split learning.☆55Aug 21, 2024Updated last year
- (CVPR 2024) FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning☆20Jun 21, 2024Updated last year
- 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
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Nov 17, 2022Updated 3 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Sep 2, 2020Updated 5 years ago
- Source code for paper "Federated Edge Learning with Misaligned Over-The-Air Computation"☆29Jan 24, 2023Updated 3 years ago
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆28Jan 24, 2022Updated 4 years ago
- This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".☆33Mar 16, 2025Updated 11 months ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆76May 27, 2024Updated last year
- A DNN model partition demo☆32Dec 13, 2019Updated 6 years ago
- 这是福州大学的《Matlab实践》图像处理软件GUI设计☆13Jul 20, 2021Updated 4 years ago
- Official Code for Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning☆16Jul 24, 2025Updated 7 months ago
- ☆12Dec 21, 2022Updated 3 years ago
- Understanding and improvement of artificial bee colony algorithm and C / Java / Python code reproduction.对人工蜂群算法的理解和改进思路以及C/Java/Python代码…☆15Feb 14, 2021Updated 5 years ago
- ☆13Apr 29, 2025Updated 10 months ago
- Reimplementation of simple policy gradient algorithms such as REINFORCE and Actor-Critic methods.☆16Aug 26, 2023Updated 2 years ago
- [ICNC 2020] Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation☆10Jul 26, 2019Updated 6 years ago
- Sequence-based protein solubility predictor☆11Apr 1, 2020Updated 5 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 4 years ago
- Learning to Reconstruct CT Images from the VVBP-Tensor☆15Jun 12, 2021Updated 4 years ago
- A mirror of the Open Risk white paper collection☆10Nov 11, 2025Updated 3 months ago
- This app uses OpenAI's LLM model to answer questions about your PDF file. Upload your PDF file and ask questions about it. The app will r…☆13May 13, 2025Updated 9 months ago
- Physalia course Machine Learning for Multi-Omics Integration☆18Jun 11, 2025Updated 8 months ago
- Try Openmax with MNIST Fashion dataset☆11Jul 22, 2018Updated 7 years ago
- Agent-OM: Leveraging LLM Agents for Ontology Matching☆18Jan 24, 2026Updated last month
- A Random Matrix Approach to Extreme Learning Machine☆15Feb 23, 2018Updated 8 years ago
- EA-HAS-Bench: Energy-Aware Hyperparameter and Architecture Search Benchmark (ICLR Spotlight 2023)☆18Dec 8, 2024Updated last year
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 3 years ago
- Machine Learning in Action(机器学习实战)☆11Jan 26, 2018Updated 8 years ago
- Code of our ASISR paper☆16Aug 4, 2025Updated 6 months ago
- Implementation of Bayesian Gradient Descent☆37Oct 3, 2023Updated 2 years ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year