Publications

Publications in Conference proceedings

Long, Q. , Anagnostopoulos, C. , Puthiya, S. and Bi, D. (2024) FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. In: IEEE ICDM 2023, Shanghai, China, 1-4 December 2023, pp. 1187-1192. ISBN 9798350307887 (doi: 10.1109/ICDM58522.2023.00146)
Puthiya Parambath, S. A. , Al-Fahad, S. A. M., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Sequential Block Elimination for Dynamic Pricing. In: The 2nd International Workshop on Data Mining in Finance (DMF 2024) at the IEEE International Conference on Data Mining, Abu Dhabi, United Arab Emirates, 09-12 Dec 2024, (Accepted for Publication)

Article in Journals

Puthiya Parambath, S. A. , Anagnostopoulos, C. and Murray-Smith, R. (2024) Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback. Data Mining and Knowledge Discovery, 38(6), pp. 3758-3782. (doi: 10.1007/s10618-024-01057-4)
Papakotoulas A, Mylonas T., Panagidi K., Hadjiefthymiades S., Optimizing IOT Security via TPM Integration: An Energy Efficiency Case Study for Node Authentication, ITU Journal on Future and Evolving Technologies, Volume 5, Issue 1, March 2024, ITU, ISSN: 2616-8375
Aladwani, T., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Node and relevant data selection in distributed predictive analytics: a query-centric approach. Journal of Network and Computer Applications
Koukosias, A., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Task-aware data selectivity in pervasive edge computing environments. IEEE Transactions on Knowledge and Data Engineering, (doi: 10.1109/TKDE.2024.3485531)
Puthiya Parambath, S. , Anagnostopoulos, C. and Alfahad, S. A. M. (2024) Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. Data Mining and Knowledge Discovery, (Accepted for Publication)

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