on-device-training

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.

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

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

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

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

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

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

"DL_WC is a repository containing python code and resources related to my work on deep learning in the context of wireless communication"