Computing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative.
Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.
FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).
topics of interest
- Applications and application support
Novel applications for novel e-infrastructures • Complex workflow applications • Big Data registration, processing and analyses • Problem solving environments and virtual laboratories • Semantic and knowledge based systems • Collaborative infrastructures and virtual organizations • Methods for high performance and high throughput computing • Urgent computing • Scientific, industrial, social and educational implications • Education - Methods and tools
Tools for infrastructure development and monitoring • Distributed dynamic resource management and scheduling • Information management • Protocols and emerging standards • Methods and tools for internet computing • Security aspects - Theory
Process specification • Program and algorithm design • Theoretical aspects of large scale communication and computation • Scaling and performance theory • Protocols and their verification
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Anonymous Federated Learning via Named-Data Networking (2024) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti