Artículo: AMZ-B0F4KYS232

FEDERATED LEARNING AND Multi-Agent Systems with MCP: A Practical Guide

Format:

Kindle

Paperback

Detalles del producto

Disponibilidad
Sin stock

Peso con empaque
0.20 kg

Devolución
No

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

FEDERATED LEARNING AND Multi-Agent Systems with MCP is a simple, hands-on guide to creating smart computer systems that work together without sharing private data. It introduces the Model Context Protocol (MCP), a free tool that helps you build two kinds of systems: multi-agent systems (MAS), where “agents” make decisions together, and federated learning (FL), where devices train models locally and share only updates. This book teaches you how to use MCP step-by-step, from starting out to running real projects like helping hospitals predict recovery times, managing power in smart grids, or connecting lots of IoT sensors. What You’ll Learn, Step by Step The book has eight chapters that take you from beginner to expert. Chapter 1 explains MCP and its tools—mcp-client for devices and mcp-server for the main computer. Chapters 2 and 3 show you how to set them up and make them talk to each other using Python. In Chapters 4 and 5, you’ll build small test systems, like agents working together or devices learning as a team. Chapter 6 gets more advanced with examples: a hospital system (6.4) that keeps patient data private and a smart grid (6.5) that adjusts power using weather info. Chapters 7 and 8 focus on making your systems work in the real world. Chapter 7 teaches you how to put MCP on a cloud like AWS, keep it safe with passwords, and test it with lots of users. Chapter 8 helps you fix problems—like when the network breaks (8.1)—make it faster (8.2), and keep it running smoothly with checklists and helpful tools (8.3). You’ll see real examples, like an IoT system with 100 sensors (7.3), and get full code to try yourself. What Makes This Book Special Easy Lessons: Clear steps with real MCP tools, plus extras like monitoring with Prometheus and security with Keycloak. Real Examples: Projects from healthcare, smart grids, and IoT show you how MCP works in life. Full Guide: Covers everything—starting, building, launching, and fixing your system. Tips to Make It Better: Learn how to speed things up and avoid trouble, with lists to check your work. Word List: glossary of terms explains 38 key words (like “Federated Learning” or “Agent”) so you’re never lost. Who Should Read This? This book is for people who know a bit about Python and want to build smart systems—like data scientists, engineers, or tech workers. It’s great if you’re working on projects that need privacy or lots of devices, like in hospitals or smart homes. You don’t need to know MCP already; the book starts simple and builds up to big systems anyone can use. Why This Book Helps Today, companies need smart systems that keep data safe and work fast. MCP makes this easier by combining MAS and FL into one tool. This book shows you how to use it with clear steps, code, and ideas you can try right away. Whether you’re testing an idea or running 100 IoT devices, it gives you what you need to do it well.

Producto prohibido

Este producto no está disponible

Este producto viaja de USA

a tus manos en

Medios de pago

FEDERATED LEARNING AND Multi-Agent Systems with MCP: A Practical Guide

AI and Life Sciences: Revolutionizing Drug Discovery and Healthcare with Federated Computing and Secure Data Collaboration

Black Africa: The Economic and Cultural Basis for a Federated State

Federated Identity Primer

Federated Learning: Theory and Practice

The Federated States of Micronesia’s Engagement with the Outside World: Control, Self-Preservation and Continuity (Pacific Series)

Federated Learning for the Internet of Vehicles: Advances and Applicatons

AVITOPIA - Birds of the Federated States of Micronesia

Toward a Federated Nation: Implementing National Civics Standards (A Gravitas/Civics Book)

Federated 84031-3 Idle Air Control (IAC) Valve Connector for GM Products - 4 x 9.0 inch Wires - Automotive Fuel Injection IAC Valves - Throttle Position Sensing

AC&D a Federated Company

Edge-Cloud Computing and Federated-Split Learning in the Internet of Things

Federated 84077-3 EGR Control Solenoid and Misc Connector for GM Products

Información útil

Centro de ayuda

Todo en un solo lugar

Comprá con tranquilidad

FEDERATED LEARNING AND Multi-Agent Systems with MCP: A Practical Guide

Otros Productos

AI and Life Sciences: Revolutionizing Drug Discovery and Healthcare with Federated Computing and Secure Data Collaboration

Black Africa: The Economic and Cultural Basis for a Federated State

Federated Identity Primer

Federated Learning: Theory and Practice

The Federated States of Micronesia’s Engagement with the Outside World: Control, Self-Preservation and Continuity (Pacific Series)

Federated Learning for the Internet of Vehicles: Advances and Applicatons

AVITOPIA - Birds of the Federated States of Micronesia

Toward a Federated Nation: Implementing National Civics Standards (A Gravitas/Civics Book)

Federated 84031-3 Idle Air Control (IAC) Valve Connector for GM Products - 4 x 9.0 inch Wires - Automotive Fuel Injection IAC Valves - Throttle Position Sensing

AC&D a Federated Company

Edge-Cloud Computing and Federated-Split Learning in the Internet of Things

Federated 84077-3 EGR Control Solenoid and Misc Connector for GM Products

Compra protegida

¿Cómo comprar?

Información de Aduanas Ecuador

Garantía de entrega

¿Cómo solicitar una devolución?

Los productos sin devolución son:

Tarjetas de Débito y Crédito

Pagos a través de PayPal

¿Cómo comprar?

Hacemos todo por ti

Tarjetas de Débito, Crédito y Deuna

Pagos a través de Deuna

Pagos a través de PayPal

Garantía de entrega

Compra como si vivieras fuera, pero desde cualquier lugar de Ecuador