LassoADMM
by fangvv
Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
AI summary
Edge Regressor
Enabling edge computing for private regression analysis using distributed ADMM.
- stars
- 55
- forks
- 28
- watching
- 5
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Federated learning algorithm
An implementation of Bayesian network structure learning with continuous optimization for federated learning.
Visual Model Benchmark
An open-source benchmarking framework for evaluating cross-style visual capability of large multimodal models
ayrna/orca116
Ordinal regression toolkit
A MATLAB framework for ordinal regression and classification algorithms
ML dev env
An interactive machine learning development environment with support for Scala, JVM, and popular ML libraries.
Machine learning framework
A framework for distributed machine learning
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
AutoML framework
An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits in specific domains.
Attack framework
An adversarial attack framework on large vision-language models
ADMM solver library
Optimization algorithm implementation for constrained and non-constrained problems
nvlabs/edm1.4K
Generative model framework
This project provides a set of tools and techniques to design and improve diffusion-based generative models.
ML framework
A distributed machine learning platform for rapid Deep learning application development
Regression library
A machine learning library built on top of Apache Spark for scalable and flexible regression modeling
Model Training Framework
A framework for collaborative machine learning model training that leverages similarity between model representations to correct local training.
Deep learning framework
A Matlab-based framework for building and training deep learning models
Loss function framework
A PyTorch-based framework for implementing normalized loss functions to improve deep learning model robustness against noisy labels.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions LassoADMM.
