Proceedings of Innovative Computing 2024 Vol. 1 PDF Download

Author: Yan Pei
Publisher: Springer Nature
ISBN: 9819741939
Category :
Languages : en
Pages : 384

View

Book Description

Author: Yan Pei
Publisher: Springer
ISBN: 9789819741922
Category : Computers
Languages : en
Pages : 0

View

Book Description
This book comprises select proceedings of the 7th International Conference on Innovative Computing which was held in Taichung City, Taiwan, Jan 23-26, 2024 (IC 2024) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.

Author: Yan Pei
Publisher: Springer Nature
ISBN: 9819741211
Category :
Languages : en
Pages : 327

View

Book Description

Author: Yan Pei
Publisher: Springer Nature
ISBN: 9819741823
Category :
Languages : en
Pages : 368

View

Book Description

Author: Yan Pei
Publisher: Springer Nature
ISBN: 9819741254
Category :
Languages : en
Pages : 359

View

Book Description

Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 9819735882
Category : Electronic books
Languages : en
Pages : 621

View

Book Description

Author: Kohei Arai
Publisher: Springer
ISBN: 9783031622809
Category : Computers
Languages : en
Pages : 0

View

Book Description
Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during the conference. Delve into a diverse range of topics, insights, and methodologies that shape the future of computing. Whether you're an academic, researcher, or enthusiast, this concise volume offers a snapshot of the dynamic and collaborative spirit defining the Computing Conference 2024.

Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031622812
Category :
Languages : en
Pages : 644

View

Book Description

Author: Deepak Gupta
Publisher: Springer
ISBN: 9789811551123
Category : Technology & Engineering
Languages : en
Pages : 0

View

Book Description
This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Author: M. Irfan Uddin
Publisher: CRC Press
ISBN: 1040115330
Category : Computers
Languages : en
Pages : 194

View

Book Description
Federated Learning: Unlocking the Power of Collaborative Intelligence is a definitive guide to the transformative potential of federated learning. This book delves into federated learning principles, techniques, and applications, and offers practical insights and real-world case studies to showcase its capabilities and benefits. The book begins with a survey of the fundamentals of federated learning and its significance in the era of privacy concerns and data decentralization. Through clear explanations and illustrative examples, the book presents various federated learning frameworks, architectures, and communication protocols. Privacy-preserving mechanisms are also explored, such as differential privacy and secure aggregation, offering the practical knowledge needed to address privacy challenges in federated learning systems. This book concludes by highlighting the challenges and emerging trends in federated learning, emphasizing the importance of trust, fairness, and accountability, and provides insights into scalability and efficiency considerations. With detailed case studies and step-by-step implementation guides, this book shows how to build and deploy federated learning systems in real-world scenarios – such as in healthcare, finance, Internet of things (IoT), and edge computing. Whether you are a researcher, a data scientist, or a professional exploring the potential of federated learning, this book will empower you with the knowledge and practical tools needed to unlock the power of federated learning and harness the collaborative intelligence of distributed systems. Key Features: Provides a comprehensive guide on tools and techniques of federated learning Highlights many practical real-world examples Includes easy-to-understand explanations