on-device-training

There are 7 repositories under on-device-training topic.

  • FedML-AI/FedML

    FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

    Language:Python4.2k118327786

  • mit-han-lab/tiny-training

    On-Device Training Under 256KB Memory [NeurIPS'22]

    Language:Python44118860

  • pittisl/ElasticTrainer

    Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)

    Language:Python13111

  • hanjialiang/DeepRec

    Code for the WWW 2021 paper - DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce

    Language:Python7122

  • CDFER/ESP32-On-Device-Training-Demo

    Demonstrate on-device training of a neural network using AIfES Library on an ESP32 board, learning the XOR gate function.

    Language:C++1101

  • sonhm3029/On-device-training-tensorflowlite

    This project is simple training tensorflowlite on mobile device - android for braintumor classification

    Language:Jupyter Notebook110

  • sonhm3029/Federated-Learning-Mobile-Client

    This project implement Mobile client join distributed training in Federated Learning System

    Language:Jupyter Notebook10