Collaborative Computing: Networking, Applications and Worksharing: 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II

LNICST 460 and 461 contain the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2022, with 57 full papers selected from 171 submissions.

Format: Paperback / softback
Length: 535 pages
Publication date: 25 January 2023
Publisher: Springer International Publishing AG

The 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, was held in Hangzhou, China, in October 2022. This conference brought together experts from around the world to explore innovative solutions and discuss the latest trends in collaborative computing.

The proceedings of the conference, published in two volumes as LNICST 460 and 461, feature a comprehensive collection of 57 full papers. These papers were meticulously reviewed and selected from a total of 171 submissions, reflecting the high caliber of research and expertise present at the event.

The papers in the proceedings are organized into seven topical sections, covering a wide range of areas within collaborative computing. These sections include:

Recommendation System: This section explores the use of recommendation systems, which aim to provide personalized recommendations to users based on their preferences and behavior. The papers discuss various algorithms and techniques for building effective recommendation systems, such as collaborative filtering, content-based filtering, and user-based filtering.

Federated Learning and Application: Federated learning is a distributed learning approach where multiple devices or nodes collaborate to train a model. This section covers the latest developments in federated learning, including techniques for model training, communication, and optimization. The papers discuss applications of federated learning in various domains, such as healthcare, finance, and social media.

Edge Computing and Collaborative Working: Edge computing is a distributed computing paradigm that brings computing and data storage closer to the edge of the network. This section explores the use of edge computing in collaborative working environments, such as industrial automation, smart cities, and healthcare. The papers discuss the benefits of edge computing, such as reduced latency, increased data processing speed, and improved energy efficiency.

Blockchain Applications: Blockchain technology is a distributed ledger system that enables secure and transparent transactions. This section covers the latest developments in blockchain applications, including applications in finance, supply chain management, and healthcare. The papers discuss the benefits of blockchain, such as decentralization, transparency, and security.

Security and Privacy Protection: Collaborative computing involves sharing sensitive data and information among multiple users. This section covers the latest developments in security and privacy protection, including techniques for data encryption, access control, and identity management. The papers discuss the challenges and risks associated with collaborative computing and the strategies for mitigating them.

Deep Learning and Application: Deep learning is a subset of machine learning that uses neural networks to model complex data. This section covers the latest developments in deep learning, including applications in image recognition, natural language processing, and speech recognition. The papers discuss the benefits of deep learning, such as its ability to learn from large amounts of data and its high accuracy.

Collaborative Working: Collaborative working involves the collaboration of multiple users to achieve a common goal. This section covers the latest developments in collaborative working technologies, such as video conferencing, instant messaging, and virtual reality. The papers discuss the challenges and opportunities associated with collaborative working and the strategies for improving it.

Images Processing and Recognition: Image processing and recognition are important areas of research in computer vision and artificial intelligence. This section covers the latest developments in image processing and recognition, including techniques for image segmentation, object detection, and facial recognition. The papers discuss the applications of image processing and recognition in various domains, such as healthcare, security, and entertainment.

In conclusion, the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, was a highly successful event that brought together, together experts from around the world to explore innovative solutions and discuss the latest trends in collaborative computing. The proceedings of the conference, published in two volumes as LNICST 460 and 461, feature a comprehensive collection of 57 full papers that cover a wide range of areas within collaborative computing. These papers represent the cutting-edge research and expertise in the field, and they will be valuable to researchers, practitioners, and policymakers alike.

The conference also provided a platform for networking and collaboration, allowing participants to share ideas, exchange experiences, and establish new partnerships. The conference organizers would like to express their gratitude to all the participants, speakers, and sponsors for their contributions to the success of the event. We look forward to seeing you at the next edition of CollaborateCom in 2023!

Weight: 842g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031243851
Edition number: 1st ed. 2023