Inbunden, Engelska, 2027

Advances in Distributed and Federated Learning

Algorithms and Applications

Av Sirisha Potluri, Nirmala Jyothi Narisetty, Debnath Bhattacharyya

1494 kr

Kommande

Beskrivning

Distributed and federated learning significantly enhances the productivity of data scientists by enabling them to run parallel experiments across various devices, including GPUs, TPUs, and servers. These approaches reduce training time by distributing the training of a single network across multiple devices, resulting in shorter wait times for model training. Consequently, distributed machine learning allows professionals to decrease both model training and inference times drastically.This book reviews advanced algorithms and applications that address research gaps across diverse domains such as healthcare, agriculture, retail, education, marketing, sales, etc. The book strives to provide robust literature support while exploring advanced algorithms designed to improve distributed deep learning and create scalable intelligent systems. Targeted at data scientists, machine and deep learning engineers, and practitioners in both academia and business, it offers innovative methods for constructing federated learning models with reduced training times. It provides a comprehensive range of tools for designing networked machine and deep learning models, tailored for advanced research across multiple domains. The primary focus is on developing innovative structures for deep learning models through the implementation of model parallelism and data parallelism, yielding more accurate results while minimizing training time and complexity. This book seeks to introduce advanced methods for distributed deep learning platforms, focusing on various issues and challenges while improving performance using federated learning algorithms and their applications to establish best practices in intelligent systems.

Produktinformation

Utgivningsdatum: 2027-01-28
Mått: 156 x 234 x undefined mm
Format: Inbunden
Språk: Engelska
Antal sidor: 260
Förlag: Taylor & Francis Ltd
ISBN: 9781041139942

Utforska kategorier

Mer om författaren

Sirisha Potluri is an Associate Professor in the Computer Science & Engineering department at Koneru Lakshmaiah Education Foundation in Hyderabad. Bringing over a decade of academic experience to her role, her research interests encompass Cloud Computing, Edge Computing, Artificial Intelligence, and Data Analytics. Dr. Potluri has made significant contributions to her field, having presented more than 25 conference papers and authored 42 peer-reviewed journal articles. Additionally, she has edited six books and written over 15 chapters published by established academic publishers. As an active member of IEEE, she engages with the academic community by serving as a reviewer for several reputable journals, including Computing and Cluster Computing.Nirmala Jyothi Narisetty is an Associate Professor in the Computer Science & Engineering Department at Koneru Lakshmaiah Education Foundation, Hyderabad. With over a decade of academic experience, her research focuses on Cloud Computing, Machine Learning, and Data Analytics. She has made significant contributions to the field, publishing 22 research papers in esteemed international journals. In addition to her expertise in data mining, deep learning, and cloud computing, Dr. Nirmala Jyothi actively engages with the academic community as a member of IEEE, serving as a reviewer for several prestigious journals.Debnath Bhattacharyya is a Professor at Department of Information Technology, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India. He was an Invited International Professor of Lincoln University College, Kuala Lumpur, Malaysia, and a Foreign Professor, Department of Multimedia Engineering, Hannam University, South Korea. Currently, he is the Visiting Professor at University of Johannesburg, South Africa and UCSI University, Kuala Lumpur, Malaysia. He completed his PhD (Tech, CSE) from the University of Calcutta, Kolkata. He did his MTech (CSE) from West Bengal University of Technology, Kolkata, India. Dr Bhattacharyya is the Senior Member of IEEE, Senior Member of ACM, ACM SIGKDD, OWASP, Life Member of CSI, India, Senior Member of IACSIT, Singapore and Senior Member of IAENG, Hong Kong. He serves as an editor for several reputed journals (indexed by Scopus, SCI, and WoS). He has published 300 Scopus indexed articles and 160 WoS (Core) indexed papers. His research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing. He has also published 6 books in Computer Science and Engineering.

Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.