Knowledge & Data Engineering Systems
The Knowledge & Data Engineering Systems (KDES) research group is part of the Information, Data and Analysis (IDA) Section. KDES brings together the fundamental research areas of Distributed Computing, Knowledge Engineering, and Data Science.
KDES's strength lies in the spectrum of theoretical backgrounds and applications ranging from large-scale Distributed Computing and Information Systems, to Edge Computing , Distributed Machine Learning/AI, and Data-centric AI, focuses on building innovative distributed data science and engineering systems.
Research Topics
- Distributed Data Management
- Distributed AI & Federated Machine Learning & Reusability
- Large-scale Data Analytics
- Information Processing Systems
Academic Staff & Members
- Academic Staff
- Affiliate / Associate Academics
- Researchers
- Interns / Alumni / External Collaborators
News & Events
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03 DecShameem Puthiya Parambath, Christos Anagnostopoulos, Saleh Abdullah M Alfahad, 'Thompson Sampling-based Recursive Block Elimination for Dynamic Assignment under Limited Budget in Pure-Exploration ', Data Mining and Knowledge Discovery, 2024
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21 Nov
T Aladwani's PhD Viva Success!
Congratulations to T Aladwani for having her PhD Viva passed! Thesis title: 'Enhancing Data Representation in Distributed Machine Learning' (supervisors: Dr C Anagnostopoulos, Dr F Deligianni) -
12 Nov
Q Long's PhD Viva Success!
Congratulations to Q Long for having his PhD Viva passed! Thesis title: 'Collaborative Distributed Machine Learning: From Knowledge Reuse to Sparsification in Federated Learning' (supervisors: Dr C Anagnostopoulos, Dr F Deligianni) -
09 Jun
IEEE BigData 2024 Paper accepted!
Our paper titled 'LIFE: Leader-driven Hierarchical & Inclusive Federated Learning' has been accepted for publication in IEEE BigData 2024, December 15-18, 2024, Washington DC, USA -
09 Jun
IEEE TKDE 2024 Paper accepted!
Our paper titled 'Task-Aware Data Selectivity in Pervasive Edge Computing Environments' has been accepted for publication in IEEE Transactions of Knowledge and Data Engineering (TKDE)