Keynotes
Distributed Machine Learning: Bridging Cloud and Edge Systems
Edge-cloud solutions are being used to collect and analyze large amounts of data generated by IoT devices in various application domains, such as urban mobility, smart cities, healthcare, and augmented reality. We must be able to combine techniques and algorithms of data analysis and machine learning with the scalable architectures of Cloud systems and Edge technologies. This approach can reduce latency and network congestion associated with traditional cloud-based machine learning techniques by processing data locally on edge devices before sending it to the cloud for further analysis. This keynote discusses distributed machine learning and proposes a reference architecture to adapt distributed machine learning algorithms at the edge-cloud continuum. Real applications are presented, and the main open research issues are discussed.
Speaker: Domenico Talia is a full professor of computer engineering at the University of Calabria, Italy and an Honorary professor at Noida University, India. He is a co-founder of the start-up DtoK Lab. His research interests include Big Data analysis, high-performance computing, parallel and distributed data mining algorithms, Cloud computing, distributed machine learning, social data analysis, peer- to-peer systems, and parallel programming models and languages. Domenico Talia has published 10 books and more than 400 papers in archival journals such as Communications of the ACM, IEEE TPDS, IEEE Computer, IEEE TKDE, IEEE TSE, IEEE TSMC-A, IEEE TSMC-B, IEEE Micro, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing, and highly reputed conference proceedings. He is a member of the editorial boards of IEEE Transactions on Parallel and Distributed Systems, IEEE Computer, ACM Computing Surveys, the Future Generation Computer Systems journal, the International Journal of Web and Grid Services, the Journal of Cloud Computing-Advances, Systems and Applications, the Scalable Computing Practice and Experience journal, the International Journal of Next-Generation Computing. He was guest editor of special issues of IEEE Transactions on Software Engineering, Parallel Computing, IEEE Transactions on Big Data, and Future Generation Computer Systems, and served as a program chair or program committee member of several international conferences. Talia is a senior member of the Association for Computing Machinery (ACM) and IEEE Computer Society and has been a reviewer for several research agencies and public administrations.
Tasks based hybrid workflows for emergent technologies
Speaker: Rosa M. Badia holds a PhD in Computer Science (1994) from the Technical University of Catalonia (UPC). She is the director of the HPC software research area and the manager of the Workflows and Distributed Computing research group, both roles at the Barcelona Supercomputing Center (BSC, Spain). Her research has contributed to parallel programming models for multicore and distributed computing. Recent contributions have focused on the digital continuum, proposing new programming environments and software for edge-to-cloud, as well as for the support of hybrid quantum-classic workflows. The research is integrated in PyCOMPSs/COMPSs, a parallel task-based programming distributed computing framework, and its application to developing large heterogeneous workflows that combine HPC, Big Data, and Machine Learning. The group is also doing research around the dislib, a parallel machine learning library parallelized with PyCOMPSs. Dr Badia has published more than 200 papers on her research topics in international conferences and journals. She has been very active in projects funded by the European Commission and in contracts with industry. She was the PI of the EuroHPC project eFlows4HPC. She is a member of the EuroHPC JU RIAG and a member of the HiPEAC Network of Excellence. She received the Euro-Par Achievement Award 2019, the DonaTIC award, category Academia/Researcher in 2019 and the HPDC Achievement Award 2021. Since 2023 she is a member of the Institut d'Estudis Catalans (Catalan academy). She is the chair of the ACM Europe Council since beginning of