聯邦學習、分佈式學習、FSL(Few-Shot Learning):服務器到設備
市場調查報告書
商品編碼
1068149

聯邦學習、分佈式學習、FSL(Few-Shot Learning):服務器到設備

Federated, Distributed and Few-Shot Learning: From Servers to Devices

出版日期: | 出版商: ABI Research | 英文 | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告涵蓋聯邦學習、Fed-Shot 學習 (FSL),並提供以下內容。

舉報的好處

  • 根據需求和要求確定合適的解決方案合作夥伴以部署邊緣 AI 學習
  • 了解邊緣 AI 的當前技術趨勢,尤其是在關聯學習、分佈式學習和 FSL(Few-Shot Learning)方面
  • 確定市場所需的關鍵功能

主要問題的回答

  • 誰是邊緣 AI 學習的領先解決方案提供商?
  • 邊緣AI學習的發展差距在哪裡?
  • 雲服務提供商在邊緣 AI 學習中的定位是什麼?

調查亮點

  • Edge AI 中新學習範式的詳細分解
  • 邊緣 AI 學習必不可少的軟件服務功能
  • 邊緣 AI 學習生態系統市場規模

上市公司

  • ACM
  • AIMultiple
  • BrainChip
  • GrAI Matter Labs
  • IBM Corp
  • Intel Corporation
  • Consilient Technologies
  • Facebook, Inc.
  • google
  • Microsoft Corporation
  • Nvidia
  • Qualcomm Inc

目錄

第 1 章執行摘要

第 2 章 什麼是機器學習?

  • 從機器學習到深度學習
  • 從雲端到邊緣,訓練和推理
  • FSL (Few-Shot Learning)
  • 分佈式學習
  • 聯合學習
  • 機器學習到邊緣

第 3 章主要供應商

  • NVIDIA
  • Intel
  • Qualcomm
  • GrAI Matter Labs
  • Brainchip
  • IBM

第四章市場展望

第 5 章結論/建議

簡介目錄
Product Code: AN-4952

Actionable Benefits:

  • Identify the right solution partners for edge AI learning deployment, based on needs and requirements.
  • Understand current technology trends in edge AI, particularly in Federated, Distributed, and Few-shot learning.
  • Identify the key features that the market needs.

Research Highlights:

  • A detailed breakdown of new learning paradigms at the edge AI.
  • Software and service features that are critical to edge AI learning.
  • Market sizing of the edge AI learning ecosystem.

Critical Questions Answered:

  • Who are the key solution providers for edge AI learning?
  • What are the gaps in edge AI learning deployment?
  • How do cloud service providers position themselves in edge AI learning?

Who Should Read This?

  • Edge AI chipset suppliers.
  • Device and server OEMs.
  • Edge AI software and service providers.
  • System integrators.
  • Cloud service providers.

Companies Mentioned:

  • ACM
  • AIMultiple
  • BrainChip
  • GrAI Matter Labs
  • IBM Corp
  • Intel Corporation
  • Consilient Technologies
  • Facebook, Inc.
  • google
  • Microsoft Corporation
  • Nvidia
  • Qualcomm Inc

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. WHAT IS MACHINE LEARNING, SO THAT A PERSON MAY GRASP IT?

  • 2.1. From Machine Learning to Deep Learning
  • 2.2. Cloud-to-Edge Training and Inference
  • 2.3. Few-Shot Learning
  • 2.4. Distributed Learning
  • 2.5. Federated Learning
  • 2.6. Bringing Machine Learning to the Edge

3. KEY VENDORS

  • 3.1. NVIDIA
  • 3.2. Intel
  • 3.3. Qualcomm
  • 3.4. GrAI Matter Labs
  • 3.5. Brainchip
  • 3.6. IBM

4. MARKET OUTLOOK

5. CONCLUSIONS AND RECOMMENDATIONS