Ms Tahani Aladwani
- Research Assistant (Computing Science)
Publications
2025
Axelou, O., Aladwani, T., Floros, G. and Anagnostopoulos, C. (2025) Towards EMIR Mitigation: Efficient Wire Sizing for VLSI Power Grids Based on L-BFGS Algorithm. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Axelou, O., Floros, G. and Anagnostopoulos, C. (2025) Decentralized Deep Learning for Lithographic Hotspot Detection in IC Design. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Pantazi-Kypraiou, M., Goudroumanis, G. R., Aladwani, T., Tziouvaras, A., Stamoulis, G. and Anagnostopoulos, C. (2025) Design Space Exploration based on Q-Learning for 2D Bin-packing Problems. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Floros, G. and Anagnostopoulos, C. (2025) A Federated Few-shot Learning Siamese Network Framework with Data Label Imbalance. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)
2024
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, 232, 104029. (doi: 10.1016/j.jnca.2024.104029)
Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F. (2024) CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks. In: 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024, (doi: 10.1109/DSAA61799.2024.10722828)
Aladwani, T. and Anagnostopoulos, C. (2024) Semi-Supervised Federated Learning over Relevant Heterogeneous Data. In: BMVC 2024 Workshop on Privacy, Fairness, Accountability and Transparency in Computer Vision, Glasgow, UK, 28 November 2024, (Accepted for Publication)
Aladwani, T., Parambath, S. , Anagnostopoulos, C. and Deligianni, F. (2024) The Price of Labelling: A Two-Phase Federated Self-Learning Approach. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, 9-13 September 2024, (Accepted for Publication)
2023
Aladwani, T., Anagnostopoulos, C. , Kolomvatsos, K., Alghamdi, I. and Deligianni, F. (2023) Query-driven Edge Node Selection in Distributed Learning Environments. In: Data-driven Smart Cities (DASC 2023)/ 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, United States, 3-7 April 2023, pp. 146-153. ISBN 9798350322446 (doi: 10.1109/ICDEW58674.2023.00029)
2022
Anagnostopoulos, C. , Aladwani, T., Alghamdi, I. and Kolomvatsos, K. (2022) Data-driven analytics task management reasoning mechanism in edge computing. Smart Cities, 5(2), pp. 562-582. (doi: 10.3390/smartcities5020030)
Aladwani, T., Alghamdi, I., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach. In: 9th International Conference on Future Internet of Things and Cloud (FiCloud 2022), Rome, Italy, 22-24 August 2022, pp. 83-91. ISBN 9781665493505 (doi: 10.1109/FiCloud57274.2022.00019)
Articles
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, 232, 104029. (doi: 10.1016/j.jnca.2024.104029)
Anagnostopoulos, C. , Aladwani, T., Alghamdi, I. and Kolomvatsos, K. (2022) Data-driven analytics task management reasoning mechanism in edge computing. Smart Cities, 5(2), pp. 562-582. (doi: 10.3390/smartcities5020030)
Conference Proceedings
Axelou, O., Aladwani, T., Floros, G. and Anagnostopoulos, C. (2025) Towards EMIR Mitigation: Efficient Wire Sizing for VLSI Power Grids Based on L-BFGS Algorithm. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Axelou, O., Floros, G. and Anagnostopoulos, C. (2025) Decentralized Deep Learning for Lithographic Hotspot Detection in IC Design. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Pantazi-Kypraiou, M., Goudroumanis, G. R., Aladwani, T., Tziouvaras, A., Stamoulis, G. and Anagnostopoulos, C. (2025) Design Space Exploration based on Q-Learning for 2D Bin-packing Problems. In: IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems, Glasgow, Scotland UK, 20-23 July 2025, (Accepted for Publication)
Aladwani, T., Pantazi-Kypraiou, M., Goudroumanis, G. R., Floros, G. and Anagnostopoulos, C. (2025) A Federated Few-shot Learning Siamese Network Framework with Data Label Imbalance. In: 45th IEEE International Conference on Distributed Computing Systems (ICDCS), Glasgow, UK, 20-23 July 2025, (Accepted for Publication)
Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F. (2024) CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks. In: 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024, (doi: 10.1109/DSAA61799.2024.10722828)
Aladwani, T. and Anagnostopoulos, C. (2024) Semi-Supervised Federated Learning over Relevant Heterogeneous Data. In: BMVC 2024 Workshop on Privacy, Fairness, Accountability and Transparency in Computer Vision, Glasgow, UK, 28 November 2024, (Accepted for Publication)
Aladwani, T., Parambath, S. , Anagnostopoulos, C. and Deligianni, F. (2024) The Price of Labelling: A Two-Phase Federated Self-Learning Approach. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, 9-13 September 2024, (Accepted for Publication)
Aladwani, T., Anagnostopoulos, C. , Kolomvatsos, K., Alghamdi, I. and Deligianni, F. (2023) Query-driven Edge Node Selection in Distributed Learning Environments. In: Data-driven Smart Cities (DASC 2023)/ 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, CA, United States, 3-7 April 2023, pp. 146-153. ISBN 9798350322446 (doi: 10.1109/ICDEW58674.2023.00029)
Aladwani, T., Alghamdi, I., Kolomvatsos, K. and Anagnostopoulos, C. (2022) Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach. In: 9th International Conference on Future Internet of Things and Cloud (FiCloud 2022), Rome, Italy, 22-24 August 2022, pp. 83-91. ISBN 9781665493505 (doi: 10.1109/FiCloud57274.2022.00019)