Metadata-Version: 2.1
Name: fedml
Version: 0.8.9
Summary: A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
Home-page: https://github.com/FedML-AI/FedML
Author: FedML Team
Author-email: ch@fedml.ai
License: Apache 2.0
Description: # FedML - The community building and connecting AI anywhere at any scale
        
        https://doc.fedml.ai
        
        ## Mission
        FedML builds simple and versatile APIs for machine learning running anywhere at any scale.
        In other words, FedML supports both federated learning for data silos and distributed training for acceleration with MLOps and Open Source support, covering industrial grade use cases and cutting-edge academia research.
        
        - Distributed Training: Accelerate Model Training with Lightweight Cheetah
        - Simulator: (1) simulate FL using a single process (2) MPI-based FL Simulator (3) NCCL-based FL Simulator (fastest)
        - Cross-silo Federated Learning for cross-organization/account training, including Python-based edge SDK
        - Cross-device Federated Learning for Smartphones and IoTs, including edge SDK for Android/iOS and embedded Linux.
        - Model Serving: we focus on providing a better user experience for edge AI.
        - MLOps: FedML's machine learning operation pipeline for AI running anywhere at any scale.
        
        ## Source Code Structure
        
        
        The functionality of each package is as follows:
        
        **core**: The FedML low-level API package. This package implements distributed computing by communication backend like MPI, NCCL, MQTT, gRPC, PyTorch RPC, and also supports topology management. 
        Other low-level APIs related to security and privacy are also supported. All algorithms and Scenarios are built based on the "core" package.
        
        **data**: FedML will provide some default datasets for users to get started. Customization templates are also provided.
        
        **model**: FedML model zoo.
        
        **device**: FedML computing resource management.
        
        **simulation**: FedML parrot can support: (1) simulate FL using a single process (2) MPI-based FL Simulator (3) NCCL-based FL Simulator (fastest)
        
        **cross-silo**: Cross-silo Federated Learning for cross-organization/account training
        
        **cross-device**: Cross-device Federated Learning for Smartphones and IoTs
        
        **distributed**: Distributed Training: Accelerate Model Training with Lightweight Cheetah
        
        **serve**: Model serving, tailored for edge inference
        
        **mlops**: APIs related to machine learning operation platform (open.fedml.ai)
        
        **centralized**: Some centralized trainer code examples for benchmarking purposes.
        
        **utils**: Common utilities shared by other modules.
        
        ## About FedML, Inc.
        https://FedML.ai
        
Keywords: distributed machine learning,federated learning,natural language processing,computer vision,Internet of Things
Platform: UNKNOWN
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
Provides-Extra: gRPC
Provides-Extra: tensorflow
Provides-Extra: mxnet
Provides-Extra: jax
Provides-Extra: MPI
