Tania Dutta Safe Csm
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Management of Abdominal Hernias
Author: Andrew N Kingsnorth
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-01-30
Hernia repair is one of the commonest operations in general surgery. Open or laparoscopic repair of a primary inguinal hernia is a relatively straightforward operation, but more complex abdominal wall hernias demand greater surgical skill and knowledge. The editors have assembled the world's top herniologists to describe and illustrate numerous surgical techniques in detail. The field of herniology has developed rapidly over the last few years. Since the previous edition of this book, published in 2003, new surgical techniques have been developed and many new prosthetic and biologic materials have been introduced. Management of Abdominal Hernias 4e presents an authoritative, comprehensive and fully updated account of the surgical techniques and the available prosthetic materials for performing repair of abdominal wall hernias. Both open and laparoscopic methods are included. It is aimed at general and specialist surgeons in the practice of clinical surgery, as well as trainee surgeons.
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Malware Detection
Author: Mihai Christodorescu
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-03-06
This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.