18 skills found
FedML-AI / FedMLFEDML - 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.
chaoyanghe / Awesome Federated LearningFedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
FedML-AI / FedNLPFedNLP: 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
FedML-AI / FedGraphNNFedGraphNN: 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.
scaleoutsystems / Scaleout ClientScaleout Edge: Sovereign Edge AI orchestration and Federated Learning
rruisong / Awesome Federated Learning For Autonomous DrivingFedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
FedML-AI / FedIoTFederated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.
1xbq1 / FedMLLMNo description available
ysyisyourbrother / Federated Learning ResearchAn implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real FL systems.
FedML-AI / FedML MobileFedML-Mobile: Federated Learning Research Library for Android and iOS Smartphones (supported by FedML framework)
szbonaldo / FedMLPThe official implementation for the paper: "FedMLP: Federated Multi-Label Medical Image Classiffcation under Task Heterogeneity", which is accepted at MICCAI'24 (Early Accept, top 11% in total 2869 submissions).
jinkyu032 / FedMLBOfficial implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022
SAP-samples / Datasphere FedmlThe publication is a collection of sample code to show how data from SAP and non-SAP systems can be made available for training in ANY hyperscaler machine learning service via several layers of abstraction from data connection to training using our FedML Python libraries.
Koukyosyumei / NAIST FedML ExperimentsNo description available
jan-kreischer / FedML W DPThis repository is a simple PyTorch implementation of Cross-Silo Federated Learning (FL) with Differential Privacy (DP).
hexiaoxiao-cs / Fedml KneeCode for paper Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation
SlimFun / FedMLNo description available
FedML-AI / FedML Quick StartNo description available
