Kimia Yazdani


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Federated Learning


Federated Learning

Author: Qiang Yang

language: en

Publisher: Springer Nature

Release Date: 2020-11-25


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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.”

Protein Interactions


Protein Interactions

Author: M.Michael Gromiha

language: en

Publisher: World Scientific Publishing Company

Release Date: 2020-03-05


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The interactions of proteins with other molecules are important in many cellular activities. Investigations have been carried out to understand the recognition mechanism, identify the binding sites, analyze the the binding affinity of complexes, and study the influence of mutations on diseases. Protein interactions are also crucial in structure-based drug design. This book covers computational analysis of protein-protein, protein-nucleic acid and protein-ligand interactions and their applications. It provides up-to-date information and the latest developments from experts in the field, using illustrations to explain the key concepts and applications. This volume can serve as a single source on comparative studies of proteins interacting with proteins/DNAs/RNAs/carbohydrates and small molecules.

Nutrition and Sustainable Development Goal 3: Good Health and Wellbeing


Nutrition and Sustainable Development Goal 3: Good Health and Wellbeing

Author: Alejandro Cifuentes

language: en

Publisher: Frontiers Media SA

Release Date: 2025-01-23


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Building on the Millennium Development Goals, the UN Sustainable Development Goals (SDGs) are the cornerstone of the 2030 Agenda for Sustainable Development, billed by the UN as “an agenda of unprecedented scope and significance.” These seventeen goals are conceived as integrated, indivisible, and as balancing the economic, social and environmental dimensions of sustainable development. To be achieved by 2030, the goals are organized around five core pillars: people, planet, prosperity, peace and partnership. As a member of the SDGs Publishers Compact, Frontiers is committed to advocating the themes represented by the SDGs and accelerating progress to achieve them.