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FedML-AI

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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.

FedNLP

FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022

FedGraphNN

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

FedCV

FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks

FedIoT

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.

SpreadGNN

SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.

FedML-IoT

FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)

FedML-Mobile

FedML-Mobile: Federated Learning Research Library for Android and iOS Smartphones (supported by FedML framework)

FedML-docs

Documentation of FedML.

FedML-Server

FedML-Server: Federated Learning Server for FedML-IoT and FedML-Mobile

fedml-ai.github.io

Homepage of FedML: http://fedml.ai

FedML_Quick_Start

llm-finetune

fedml_edge_deployment

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