Parallel, distributed, and federated machine learning have emerged as prevalent paradigms in contemporary AI technology. The fusion of rapidly evolving machine learning techniques with the extensive literature on parallel and distributed computing has inspired many vivid research topics, including algorithm complexity, architecture, and privacy. Given that machine learning algorithms frequently demand significant computational resources, it becomes imperative to employ proficient parallel and distributed machine learning algorithms to expedite the execution time. Large amount of data communicates through the network during the parallel execution of machine learning algorithms. Consequently, there exists a pressing need for an efficient distributed parallel architecture to reduce the communication time, and also urgent demand for the mechanism to ensure the data privacy.

Fundamental challenges persist in these topics and many other related ones in algorithms, complexity, and applicational technologies in parallel and distributed machine learning. The objective of this special issue is to publish and overview recent trends in these interdisciplinary areas. We organize the conference of the 25th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2024), which will be held in Hongkong, China during December 14-16, 2024 (https://hpcc.siat.ac.cn/meeting/pdcat2024/index.html). This conference is specialized in Parallel and Distributed Computing. Selected papers accepted by PDCAT 2024 will be recommended to this Special Issue on " Parallel and Distributed Computing, Applications and Technologies", which is also open to all high-quality initial-submitted papers.

The topics of interest include, but are not limited to

Algorithms and Applications:
Parallel/distributed algorithms
Big data computing and analysis
Distributed data and knowledge based systems
Image processing and computer graphics
High-performance scientific computing
Reconfigurable high-performance computing
Resource allocation and management - Network routing and communication algorithms
Bioinformatics
Database applications and data mining
Intelligent computing and neural networks
Machine learning
Artificial intelligence based algorithms

Networking and Architectures:
Interconnection networks
Parallel/distributed architectures
Heterogeneous and multimedia Systems
ATM networks
Reliability, and fault-tolerance
Ubiquitous computing systems
Computer networks
Communication and telecommunication
Wireless networks and mobile computing
Internet of Things
Optical networks
Cloud/Grid computing systems
Edge computing
Reconfigurable architecture

Software Systems and Technologies:
Task mapping and job scheduling
Formal methods and programming languages
Internet computing
Image processing and computer vision
Agent technologies
Operating systems
Software tools and environments
Parallelizing compilers
Web services
Component-based and 00 Technology
Simulation and Visualization

Security and Privacy:
Distributed Federated Learning paradigms
Quantum-related Federated Learning frameworks
Privacy-preserving mechanisms for artificial intelligence
Artificial Intelligence security
Privacy-preserving crowd intelligence
Exploration in new and unknown attacks for Federated Learning
Defense mechanism in Federated Learning paradigms
Attack and defense algorithms for edge computing
Quantum-related defense mechanism in Federated Learning paradigms
Differential privacy techniques

SUBMISSION GUIDELINES

Authors should prepare papers in accordance with the format requirements of Tsinghua Science and Technology, with reference to the Instruction given at https://www.sciopen.com/journal/1007-0214, and submit the complete manuscript through the online manuscript submission system at https://mc03.manuscriptcentral.com/tst with manuscript type as “Special Issue on PDCAT 2024”.

IMPORTANT DATES

Deadline for submissions: March 31, 2025

GUEST EDITORS

Yicheng Xu

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Email: yc.xu@siat.ac.cn

Chunru Dong

Department of Mathematics and Information Science, Hebei University, China

Email: dongcr@hbu.edu.cn

Chunying Ren

Center for Combinatorics, Nankai University, China

Emails: Rcy9820230019@nankai.edu.cn