on-device-training

There are 0 repository 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.
ai-agent deep-learning distributed-training edge-ai federated-learning inference-engine machine-learning mlops model-deployment model-serving on-device-training
Language:Python 4080
mit-han-lab / tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
edge-ai learning-on-the-edge on-device-training
Language:Python 404
pittisl / ElasticTrainer
Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)
deep-learning neural-network on-device-training tensorflow
Language:Python 12
hanjialiang / DeepRec
Code for the WWW 2021 paper - DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
deep-learning on-device-training privacy-preserving recommendation
Language:Python 7

FedML-AI / FedML