ChainOpera AI - White Paper
ChainOpera AI White Paper
ChainOpera AI White Paper
  • ChainOpera AI: The Blockchain AI Operating System for AI Agents and Applications
  • Overview
    • One Liner
    • What's ChainOpera AI?
    • Why ChainOpera AI?
    • Ecosystem
      • Co-creators
      • Co-owners
      • Platform and Framework Partners
      • AI Hardware: DeAI Phones, Wearable Devices, and Robots
      • TensorOpera GenAI Platform
      • TensorOpera FedML Platform
  • ChainOpera AI OS
    • Flagship Mobile App - AI Terminal
    • AI Agent and App Ecosystem
    • AI Agent Society
    • Federated AI OS
    • Federated AI Platform
  • ChainOpera AI Protocol
    • Overview
    • Multilateral Value Network
    • Co-ownership of AI
    • Co-Creation and The Contribution Model
    • Token Utility
    • Burn and Mint Equilibrium Model
    • Governance
    • Proof of Intelligence
    • Evolution to an L1 AI Chain
  • -
  • Roadmap
  • Team
  • OPEN SOURCE
    • FedML Federated/Distributed Machine Learning Library
  • RESEARCH
    • Research Publication
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  1. Overview
  2. Ecosystem

TensorOpera FedML Platform

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Last updated 4 months ago

FedML () belongs to TensorOpera AI, an independent C-corp company in the US. At the same time, it contributes part of ChainOpera AI Foundation.

TensorOpera® FedML is part of TensorOpera AI cloud. It is a machine learning platform that enables zero-code, lightweight, cross-platform, and provably secure federated learning and analytics. It enables machine learning from decentralized data at various users/silos/edge nodes without requiring data centralization to the cloud, thus providing maximum privacy and efficiency. It consists of a lightweight and cross-platform Edge AI SDK that is deployable over edge GPUs, smartphones, and IoT devices. Furthermore, it also provides a user-friendly MLOps platform to simplify decentralized machine learning and real-world deployment. FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, smart cities, IoT, etc.) and applications (computer vision, natural language processing, data mining, and time-series forecasting). Its core technology is backed by many years of cutting-edge research by its co-founders.

TensorOpera®Federate builds simple and versatile APIs for machine learning running anywhere and 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 cutting-edge academia research and industrial grade use cases.

  • TensorOpera®Federate Simulation - Simulating federated learning in the real world: (1) simulate FL using a single process (2) MPI-based FL Simulator (3) NCCL-based FL Simulator (fastest)

  • TensorOpera®Federate Cross-silo - Cross-silo Federated Learning for cross-organization/account training, including Python-based edge SDK.

  • TensorOpera®Federate Cross-device - Cross-device Federated Learning for Smartphones and IoTs, including edge SDK for Android/iOS and embedded Linux.

  • TensorOpera AI - Federate: TensorOpera FedML's machine learning operation pipeline for AI running anywhere at any scale.

https://FedML