distributed-model-training
Mobile model retraining
An approach and implementation for distributed training of machine learning models on iOS devices using a central server.
Approach to implementing distributed training of an ML model: server/device training for iOS.
8 stars
1 watching
3 forks
Language: Swift
last commit: 2 months ago
Linked from 1 awesome list
aiappcolabcore-mldistributededge-computingiosios-appmachine-learningmlmodel-personalizationmodel-trainingneural-networkon-device-mls4tfswiftswift-for-tensorflowtensorflowtransfer-learningxcode
dkhamsing/open-source-ios-appsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 qinbinli/moon | A framework for collaborative machine learning model training that leverages similarity between model representations to correct local training. | 263 |
 maxpumperla/elephas | Enables distributed deep learning with Keras and Spark for scalable model training | 1,574 |
 terrytangyuan/distributed-ml-patterns | Provides practical patterns and techniques for building scalable and reliable machine learning systems | 390 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |
 moses-smt/nplm | A toolkit for training neural network language models | 14 |
 openbmb/cpm-live | A live training platform for large-scale deep learning models, allowing community participation and collaboration in model development and deployment. | 511 |
 openmined/kotlinsyft | Enables secure, on-device machine learning training and inference for Android devices using PySyft models | 86 |
| denissimon/prediction-builder-swift | A linear regression library for building predictions in machine learning | 12 |
 deepmimo/deepmimo-matlab | Provides MATLAB code and dataset for training machine learning models in millimeter wave and massive MIMO systems | 156 |
 intelligent-machine-learning/dlrover | An automatic distributed deep learning system that simplifies the training of large AI models | 1,270 |
 yiren-jian/blitext | Develops and trains models for vision-language learning with decoupled language pre-training | 24 |
 diaoenmao/semifl-semi-supervised-federated-learning-for-unlabeled-clients-with-alternate-training | An implementation of semi-supervised federated learning for improving the performance of a server using distributed clients with unlabeled data | 34 |
 chamathpali/fedsim | An implementation of a federated learning algorithm that aggregates models based on similarities between them to improve overall performance in a distributed machine learning environment. | 22 |
 josephmisiti/machine-learning-module | A collection of machine learning tutorials and lectures from Professor M. A. Girolami's 2006 course. | 465 |
 xcgoner/icml2019_zeno | An implementation of distributed stochastic gradient descent with fault-tolerance using suspicion-based methods. | 14 |