联邦学习实战

Brand: 电子工业出版社    Sold By: EM China

联邦学习实战

Brand: 电子工业出版社    Sold By: EM China
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联邦学习实战

联邦学习实战

$50.86

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产品特色

编辑推荐

联邦学习实战》涵盖了联邦学习落地的一手应用案例，配以Python代码、阐述FATE平台的使用，读者可以快速开始联邦学习的建模，动手实践！

《联邦学习实战》特色：

  • 深度剖析前沿应用案例
  • 丰富的配套视频资源、线上资源
  • 部分案例配以Python代码讲解
 
内容简介

数据孤岛和隐私保护已经成为制约人工智能发展的关键因素。联邦学习作为一种新型的隐私保护计算方案，在数据不出本地的前提下，能有效联合各参与方联合建模，从而实现“共同富裕”，成为当下人工智能领域备受关注的热点。

本书以实战为主（包括对应用案例的深入讲解和代码分析），兼顾对理论知识的系统总结。全书由五部分共19 章构成。*部分简要介绍了联邦学习的理论知识；第二部分介绍如何使用Python 和FATE 进行简单的联邦学习建模；第三部分是联邦学习的案例分析，筛选了经典案例进行讲解，部分案例用Python 代码实现，部分案例采用FATE 实现；第四部分主要介绍和联邦学习相关的高级知识点，包括联邦学习的架构和训练的加速方法等；第五部分是回顾与展望。

本书适合对联邦学习和隐私保护感兴趣的高校研究者、企业研发人员阅读。

作者简介
杨强教授
微众银行首席人工智能官（CAIO）和香港科技大学（HKUST）计算机科学与工程系讲席教授。曾任香港科技大学计算机科学与工程系系主任。研究兴趣包括人工智能、机器学习和数据挖掘，特别是迁移学习、自动规划、联邦学习和基于案例的推理。当选多个国际学会会士（Fellow），包括ACM、AAAI、IEEE、IAPR， CAAI和AAAS。1982 年获北京大学天体物理学学士学位，并分别于1987年和1989 年获马里兰大学帕克分校计算机科学系硕士学位和博士学位。曾在滑铁卢大学（University of Waterloo,1989-1995 年）和西蒙弗雷泽大学（Simon Fraser University, 1995-2001 年）担任教授。ACM TIST 和IEEE TBD 创始主编，国际人工智能联合会议（IJCAI）理事长（2017-2019 年）和国际人工智能促进学会（AAAI）的执行委员会成员（2016-2020 年）, 香港人工智能学会的理事长，曾任AAAI 2021大会主席。曾获多个奖项，包括2004/2005 ACM KDDCUP 冠军、ACM SIGKDD 卓越服务奖（2017）、AAAI 创新人工智能应用奖（2018, 2020）和吴文俊人工智能杰出贡献奖（2019）。华为诺亚方舟实验室的创始主任（2012-2014 年）和第四范式（AI 平台公司）的共同创始人。
黄安埠
显示全部信息
目　　录
部分联邦学习基础

第1章 联邦学习概述/3
1.1 数据资产的重要性/4
1.2 联邦学习提出的背景/5
1.3 联邦学习的定义/7
1.4 联邦学习的分类/10
1.5 联邦学习算法现状/12

第2章 联邦学习的安全机制/15
2.1 基于同态加密的安全机制/16
2.1.1 同态加密的定义/16
2.1.2 同态加密的分类/18
2.2 基于差分隐私的安全机制/20
显示全部信息
前　　言
人工智能和大数据技术使我们对未来的社会产生了很多期待，但同时这些高端技术的发展瓶颈也越来越清晰。我们知道，AI 的力量来自大数据，但我们在日常工作和生活中所面临的实际场景往往只有小数据。在法律这个应用领域，获取一个完整的案例样本往往需要很多的时间和资源：每一个案子的处理要经过很多步骤，从立案到结案可能需要几年的时间；毫无疑问，如此积累起来的完整案件样本数量非常少。金融领域也是如此，比如积累的洗钱案例数量可能非常有限，在风控建模中，如果把反洗钱案例看成正样例，那么这样的正样例数据非常珍贵。在医疗领域，CT 胸片的自动检验和诊断需要专业医生来标注数据，但医生的时间十分宝贵，因此对于罕见疾病，能获得的病例数据更是少之又少。
这些例子说明，在现实中能获取的往往是小数据。如果把这个情况延展开来，我们会看到，在人工智能的主战场，如无人车、智能终端等，每一台设备上的数据也是有限的，每一个数据集都不足以建立可用的机器学习模型。
那么，我们可不可以把这些数据汇聚起来形成大数据呢？长久以来，工业界聚集大数据的办法就是在云端上传众多终端的数据集，形成大数据。我们熟知的包括图像训练数据集如mageNet，语音训练数据集如Common Voice，自然语言训练数据集如bAbi 等。
显示全部信息
媒体评论
国务院在2020年将数据作为新型生产要素写入法律文件，与土地、劳动力、资本、技术并列为五个生产要素。这意味着，一方面，个人数据隐私将受到法律的严格保护，另一方面，数据与其他生产要素一样，可以进行开放、共享和交易。如何有效解决数据隐私与数据共享之间的矛盾成为当前人工智能领域的研究热点问题。
——陈纯 中国工程院院士

人工智能时代的到来已经不可逆转，在算力、算法和机器学习蓬勃发展的大背景下，数据资产成为非常重要的技术资源，服务企业的长远发展。如何利用好、保护好数据资产是人工智能能否创造更大经济和社会价值的关键因子。联邦学习理念的提出和发展，在这个方面探索出了一条可行之路并做出了重要的示范。
——沈南鹏 红杉资本全球执行合伙人

数据资产化是实现人工智能产业价值的核心环节，而联邦学习是其中的关键技术。书中严谨而深入浅出的阐述为读者们提供了非常有效的工具。
显示全部信息

Shipping Overview: 

• Shipping: Standard Domestic Shipping within the United States charges USD 4.99. Standard International Shipping from United Kingdom, Germany and Japan to the United States charges 14.99. 

• Order Processing: Please allow 1-2 business days for order processing and preparation before shipment. 

• Domestic Shipping: Orders within the U.S. are shipped via USPS or FedEx, depending on the origin of the product. The average transit time is 3-7 business days. 

• International Shipping: Currently, we only ship within the USA. 

• Tracking Information: Every order is trackable. You will receive a tracking number once your order has been shipped. Products may be shipped from various global fulfillment centers.

Shipping Delays: 

Please note that shipping times may vary due to factors beyond our control, such as weather conditions, natural disasters, or peak holiday periods. While we strive to ensure timely delivery, the exact arrival time cannot be guaranteed and is managed by the shipping carrier.

Shipping Options:

  • Standard Delivery: Most orders are shipped within 3-7 business days. Larger items may utilize LTL shipping for safe handling.

  • Handling Time: We handle shipments on business days (Monday - Friday), with a preparation time of 1-2 days.

  • Additional Charges: Some items require additional shipping charges due to their size, weight, or special handling. These charges are specified on the product pages and are not eligible for shipping discounts.

  • Exclusions: Gift cards, packaging, taxes, and prior purchases do not count toward the minimum purchase requirement for free shipping. This offer is valid only for shipments to U.S. addresses, including Puerto Rico.

Delivery Details:

  • Estimates: Standard shipping within the US typically takes 3-7 business days. These are estimates and not guarantees.

  • Shipping Restrictions: We ship to all 50 states, Washington, DC, U.S. territories, and APO/FPO/DPO addresses. Shipping options vary based on the delivery address.

  • Remote Areas: Shipments to remote areas may incur additional charges or require pickup from a nearby shipping partner’s location.

Shipping Confirmation:

You will receive a shipping confirmation email with a tracking number as soon as your order is dispatched. If you do not receive this email immediately, please be assured that your items will arrive within the estimated delivery window provided at checkout.

Order Modifications:

If you need to cancel or modify your order, please contact our customer support immediately.

Issues with Delivery:

If your order shows as delivered but you have not received it, please contact the shipping carrier directly to resolve the issue. For persistent problems, contact our customer service at cs@everymarket.com.

Customer Support:

Our team is available 24/7 to assist you with any questions or concerns regarding your order. We are committed to ensuring a smooth shopping experience.

Return & Refund Policy Overview

Please review our return and refund policies below to ensure a smooth transaction process.

Return Policy

  • Duration: You have 30 days from receiving your item to initiate a return.

  • Condition: Items must be unworn, unwashed, with original tags and packaging intact.

  • Shipping Costs: Customers are responsible for return shipping costs.

  • Packaging: Ensure returned items are well-packaged to avoid damage during transit.

  • Tracking: Use a trackable and insured shipping method as we are not liable for items lost or damaged on return.

  • Initiating a Return: Contact us at cs@everymarket.com to start your return. We will provide a return shipping label and instructions upon approval. Returns without prior approval will not be accepted.

How to Return

  • Method: Returns must be sent back by mail to the address provided in the return instructions.

Return Label

  • Defective Products: Return labels are provided for defective items.

  • Non-Defective Returns: Customers are responsible for obtaining their return shipping label.

Product Conditions for Return

  • Eligible Products: Returns are only accepted for items in new condition.

Nonreturnable Items

Certain items are not eligible for return:

  • Electronic devices after 30 days (e.g., computers, laptops, Kindles)

  • Gift cards, prepaid game cards

  • Perishable goods, live insects, some jewelry, some health and personal care items

  • Customized or personalized products

  • Items with special shipping restrictions

Refund Policy

  • Window: Eligible products may be returned within 30 days of delivery for a refund.

  • Refund Method: Refunds are processed to the original payment method or as store credit for items purchased with gift cards.

  • Processing Time: Refunds are processed within 3-5 business days after we receive the return; please allow additional time for shipping and bank processing.

Claims

Inspect your order upon arrival and report any defects, damages, or incorrect items immediately to allow us to address the issue. For claims, contact our support team with details of the issue.

Exchange Policy

For the quickest service, return your original item and place a new order for the desired product once your return is accepted.

Return Address

EveryMarket Customer Service 2101 E Terra Ln, O'Fallon, MO 63366

Customer Support

Available 24/7 for any questions or assistance needed:

  • Phone: +1 636-312-5925

  • Email: cs@everymarket.com

 

产品特色

编辑推荐

联邦学习实战》涵盖了联邦学习落地的一手应用案例，配以Python代码、阐述FATE平台的使用，读者可以快速开始联邦学习的建模，动手实践！

《联邦学习实战》特色：

  • 深度剖析前沿应用案例
  • 丰富的配套视频资源、线上资源
  • 部分案例配以Python代码讲解
 
内容简介

数据孤岛和隐私保护已经成为制约人工智能发展的关键因素。联邦学习作为一种新型的隐私保护计算方案，在数据不出本地的前提下，能有效联合各参与方联合建模，从而实现“共同富裕”，成为当下人工智能领域备受关注的热点。

本书以实战为主（包括对应用案例的深入讲解和代码分析），兼顾对理论知识的系统总结。全书由五部分共19 章构成。*部分简要介绍了联邦学习的理论知识；第二部分介绍如何使用Python 和FATE 进行简单的联邦学习建模；第三部分是联邦学习的案例分析，筛选了经典案例进行讲解，部分案例用Python 代码实现，部分案例采用FATE 实现；第四部分主要介绍和联邦学习相关的高级知识点，包括联邦学习的架构和训练的加速方法等；第五部分是回顾与展望。

本书适合对联邦学习和隐私保护感兴趣的高校研究者、企业研发人员阅读。

作者简介
杨强教授
微众银行首席人工智能官（CAIO）和香港科技大学（HKUST）计算机科学与工程系讲席教授。曾任香港科技大学计算机科学与工程系系主任。研究兴趣包括人工智能、机器学习和数据挖掘，特别是迁移学习、自动规划、联邦学习和基于案例的推理。当选多个国际学会会士（Fellow），包括ACM、AAAI、IEEE、IAPR， CAAI和AAAS。1982 年获北京大学天体物理学学士学位，并分别于1987年和1989 年获马里兰大学帕克分校计算机科学系硕士学位和博士学位。曾在滑铁卢大学（University of Waterloo,1989-1995 年）和西蒙弗雷泽大学（Simon Fraser University, 1995-2001 年）担任教授。ACM TIST 和IEEE TBD 创始主编，国际人工智能联合会议（IJCAI）理事长（2017-2019 年）和国际人工智能促进学会（AAAI）的执行委员会成员（2016-2020 年）, 香港人工智能学会的理事长，曾任AAAI 2021大会主席。曾获多个奖项，包括2004/2005 ACM KDDCUP 冠军、ACM SIGKDD 卓越服务奖（2017）、AAAI 创新人工智能应用奖（2018, 2020）和吴文俊人工智能杰出贡献奖（2019）。华为诺亚方舟实验室的创始主任（2012-2014 年）和第四范式（AI 平台公司）的共同创始人。
黄安埠
显示全部信息
目　　录
部分联邦学习基础

第1章 联邦学习概述/3
1.1 数据资产的重要性/4
1.2 联邦学习提出的背景/5
1.3 联邦学习的定义/7
1.4 联邦学习的分类/10
1.5 联邦学习算法现状/12

第2章 联邦学习的安全机制/15
2.1 基于同态加密的安全机制/16
2.1.1 同态加密的定义/16
2.1.2 同态加密的分类/18
2.2 基于差分隐私的安全机制/20
显示全部信息
前　　言
人工智能和大数据技术使我们对未来的社会产生了很多期待，但同时这些高端技术的发展瓶颈也越来越清晰。我们知道，AI 的力量来自大数据，但我们在日常工作和生活中所面临的实际场景往往只有小数据。在法律这个应用领域，获取一个完整的案例样本往往需要很多的时间和资源：每一个案子的处理要经过很多步骤，从立案到结案可能需要几年的时间；毫无疑问，如此积累起来的完整案件样本数量非常少。金融领域也是如此，比如积累的洗钱案例数量可能非常有限，在风控建模中，如果把反洗钱案例看成正样例，那么这样的正样例数据非常珍贵。在医疗领域，CT 胸片的自动检验和诊断需要专业医生来标注数据，但医生的时间十分宝贵，因此对于罕见疾病，能获得的病例数据更是少之又少。
这些例子说明，在现实中能获取的往往是小数据。如果把这个情况延展开来，我们会看到，在人工智能的主战场，如无人车、智能终端等，每一台设备上的数据也是有限的，每一个数据集都不足以建立可用的机器学习模型。
那么，我们可不可以把这些数据汇聚起来形成大数据呢？长久以来，工业界聚集大数据的办法就是在云端上传众多终端的数据集，形成大数据。我们熟知的包括图像训练数据集如mageNet，语音训练数据集如Common Voice，自然语言训练数据集如bAbi 等。
显示全部信息
媒体评论
国务院在2020年将数据作为新型生产要素写入法律文件，与土地、劳动力、资本、技术并列为五个生产要素。这意味着，一方面，个人数据隐私将受到法律的严格保护，另一方面，数据与其他生产要素一样，可以进行开放、共享和交易。如何有效解决数据隐私与数据共享之间的矛盾成为当前人工智能领域的研究热点问题。
——陈纯 中国工程院院士

人工智能时代的到来已经不可逆转，在算力、算法和机器学习蓬勃发展的大背景下，数据资产成为非常重要的技术资源，服务企业的长远发展。如何利用好、保护好数据资产是人工智能能否创造更大经济和社会价值的关键因子。联邦学习理念的提出和发展，在这个方面探索出了一条可行之路并做出了重要的示范。
——沈南鹏 红杉资本全球执行合伙人

数据资产化是实现人工智能产业价值的核心环节，而联邦学习是其中的关键技术。书中严谨而深入浅出的阐述为读者们提供了非常有效的工具。
显示全部信息

Shipping Overview: 

• Shipping: Standard Domestic Shipping within the United States charges USD 4.99. Standard International Shipping from United Kingdom, Germany and Japan to the United States charges 14.99. 

• Order Processing: Please allow 1-2 business days for order processing and preparation before shipment. 

• Domestic Shipping: Orders within the U.S. are shipped via USPS or FedEx, depending on the origin of the product. The average transit time is 3-7 business days. 

• International Shipping: Currently, we only ship within the USA. 

• Tracking Information: Every order is trackable. You will receive a tracking number once your order has been shipped. Products may be shipped from various global fulfillment centers.

Shipping Delays: 

Please note that shipping times may vary due to factors beyond our control, such as weather conditions, natural disasters, or peak holiday periods. While we strive to ensure timely delivery, the exact arrival time cannot be guaranteed and is managed by the shipping carrier.

Shipping Options:

  • Standard Delivery: Most orders are shipped within 3-7 business days. Larger items may utilize LTL shipping for safe handling.

  • Handling Time: We handle shipments on business days (Monday - Friday), with a preparation time of 1-2 days.

  • Additional Charges: Some items require additional shipping charges due to their size, weight, or special handling. These charges are specified on the product pages and are not eligible for shipping discounts.

  • Exclusions: Gift cards, packaging, taxes, and prior purchases do not count toward the minimum purchase requirement for free shipping. This offer is valid only for shipments to U.S. addresses, including Puerto Rico.

Delivery Details:

  • Estimates: Standard shipping within the US typically takes 3-7 business days. These are estimates and not guarantees.

  • Shipping Restrictions: We ship to all 50 states, Washington, DC, U.S. territories, and APO/FPO/DPO addresses. Shipping options vary based on the delivery address.

  • Remote Areas: Shipments to remote areas may incur additional charges or require pickup from a nearby shipping partner’s location.

Shipping Confirmation:

You will receive a shipping confirmation email with a tracking number as soon as your order is dispatched. If you do not receive this email immediately, please be assured that your items will arrive within the estimated delivery window provided at checkout.

Order Modifications:

If you need to cancel or modify your order, please contact our customer support immediately.

Issues with Delivery:

If your order shows as delivered but you have not received it, please contact the shipping carrier directly to resolve the issue. For persistent problems, contact our customer service at cs@everymarket.com.

Customer Support:

Our team is available 24/7 to assist you with any questions or concerns regarding your order. We are committed to ensuring a smooth shopping experience.

Return & Refund Policy Overview

Please review our return and refund policies below to ensure a smooth transaction process.

Return Policy

  • Duration: You have 30 days from receiving your item to initiate a return.

  • Condition: Items must be unworn, unwashed, with original tags and packaging intact.

  • Shipping Costs: Customers are responsible for return shipping costs.

  • Packaging: Ensure returned items are well-packaged to avoid damage during transit.

  • Tracking: Use a trackable and insured shipping method as we are not liable for items lost or damaged on return.

  • Initiating a Return: Contact us at cs@everymarket.com to start your return. We will provide a return shipping label and instructions upon approval. Returns without prior approval will not be accepted.

How to Return

  • Method: Returns must be sent back by mail to the address provided in the return instructions.

Return Label

  • Defective Products: Return labels are provided for defective items.

  • Non-Defective Returns: Customers are responsible for obtaining their return shipping label.

Product Conditions for Return

  • Eligible Products: Returns are only accepted for items in new condition.

Nonreturnable Items

Certain items are not eligible for return:

  • Electronic devices after 30 days (e.g., computers, laptops, Kindles)

  • Gift cards, prepaid game cards

  • Perishable goods, live insects, some jewelry, some health and personal care items

  • Customized or personalized products

  • Items with special shipping restrictions

Refund Policy

  • Window: Eligible products may be returned within 30 days of delivery for a refund.

  • Refund Method: Refunds are processed to the original payment method or as store credit for items purchased with gift cards.

  • Processing Time: Refunds are processed within 3-5 business days after we receive the return; please allow additional time for shipping and bank processing.

Claims

Inspect your order upon arrival and report any defects, damages, or incorrect items immediately to allow us to address the issue. For claims, contact our support team with details of the issue.

Exchange Policy

For the quickest service, return your original item and place a new order for the desired product once your return is accepted.

Return Address

EveryMarket Customer Service 2101 E Terra Ln, O'Fallon, MO 63366

Customer Support

Available 24/7 for any questions or assistance needed:

  • Phone: +1 636-312-5925

  • Email: cs@everymarket.com

 

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