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)

Tue, 12 Nov 2024 14:23:00 GMT

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)

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

Sun, 09 Jun 2024 14:23:00 BST

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

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)

Sun, 09 Jun 2024 14:23:00 BST

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)

Join our talk on the accepted paper 'The Price of Labelling: A Two-Phase Federated Self-Learning Approach' in ECML/PKDD 2024, 9-13 Sept, 2024, Vilnius, LT!

Sun, 09 Jun 2024 14:23:00 BST

Join the presentation of our Federated Learning paper 'The Price of Labelling: A Two-Phase Federated Self-Learning Approach' authored by Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F in ECML/PKDD 2024!

'CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks'

Tue, 28 May 2024 14:23:00 BST

Our Distributed AI paper 'CL-FML: Cluster-based & Label-aware Federated Meta-Learning for On-Demand Classification Tasks' authored by Aladwani, T., Anagnostopoulos, C. , Puthiya Parambath, S. and Deligianni, F has been accepted in the 1th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024), San Diego, CA, United States, 6-10 October 2024. Keywords: Federated Learning, Meta-Learning, Clustering, Data Augmentation.

Great opportunity for talented and ambitious academics interested in Distributed/data-centric AI and Knowledge-based Systems.

Fri, 14 Jun 2024 14:23:00 BST

We are hiring! Great opportunity for talented and ambitious academics interested in Distributed/data-centric AI and Knowledge-based Systems. We have a new tenure-track faculty opening at University of Glasgow School of Computing Science in the general areas of Data Systems, Data-centric AI, and Knowledge & Data Engineering. Applicants whose research expertise bridges Data Engineering, Artificial Intelligence and Knowledge Discovery are particularly welcome. Deadline: 10th July.

'Sequential Query Prediction based on Multi-Armed Bandits with Ensemble of Transformer Experts and Immediate Feedback'

Tue, 02 Jul 2024 14:23:00 BST

Our Sequential Learning paper 'Sequential Query Prediction based on Multi-Armed Bandits with Ensemble of Transformer Experts and Immediate Feedback', has been accepted in Data Mining and Knowledge Discovery journal, authored by S Parambath, C Anagnostopoulos, and R Murray-Smith. Keywords: Multi-armed bandits, Query recommendation, Immediate User Feedback, Large Language Models (LLMs), Transformers.

'The Price of Labelling: A Two-Phase Federated Self-Learning Approach'

Tue, 28 May 2024 14:23:00 BST

Our Distributed AI paper 'The Price of Labelling: A Two-Phase Federated Self-Learning Approach', has been accepted in ECML PKDD 2024At: September 9-13, Vilnius, authored by T Aladwani, S Parambath, C Anagnostopoulos, F Delignianni. Keywords: Federated Learning, Self-learning, Pseudo-labeling, Data Augmentation.

'Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme'

Wed, 06 Sep 2023 14:23:00 BST

Our Distributed AI paper 'Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme' authored by Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos, and Daning Bi is now available on arXiv (arXiv:2404.15943). Keywords: Distributed AI, Dynamic aggregation, Personalized Federated Learning.

'Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach' has been accepted for publication in IEEE TETC!

Wed, 06 Sep 2023 14:23:00 BST

Our paper 'Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach' authored by Eric Long, Christos Anagnostopoulos, and Kostas Kolomvatsos has been accepted for publication in IEEE Transactions on Emerging Topics in Computing!

45th IEEE ICDCS will be held in Glasgow, Scotland, 21-23 July 2025

Wed, 06 Sep 2023 14:23:00 BST

The 45th IEEE International Conference on Distributed Computing Systems 2025 (IEEE ICDCS) will be held in Glasgow, Scotland, 21-23 July 2025!

Our paper 'Autonomous Proactive Data Management in Support of Pervasive Edge Applications' has been accepted in the CORE A Journal: Future Generation Computer Systems (FGCS), Elsevier.

Wed, 06 Sep 2023 14:23:00 BST

Our paper 'Autonomous Proactive Data Management in Support of Pervasive Edge Applications' authored by Dr Kolomvatsos and Dr Anagnostopoulos has been accepted in the CORE A Journal: Future Generation Computer Systems (FGCS), Elsevier.

Our paper on ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization' has been accepted for presentation at the CORE A* IEEE International Conference on Data Mining (IEEE ICDM 2023), December 1-4, 2023, Shanghai, China.

Wed, 06 Sep 2023 14:23:00 BST

Our paper on ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization' has been accepted for presentation at the CORE A* IEEE International Conference on Data Mining (IEEE ICDM 2023 [https://www.cloud-conf.net/icdm2023/]), December 1-4, 2023, Shanghai, China (partially funded by EU Horizon TRACE Grant [https://trace-horizon.eu/]).

Talk on 'Maintenance of Model Resilience in Distributed Edge Learning Environments' at the IEEE Intelligent Environments (IE 2023) Conference, Jun 27, 2023 - Jun 30, 2023, Mauritius by K Wang

Tue, 27 Jun 2023 14:23:00 BST

Kian Wang gives a talk on 'Maintenance of Model Resilience in Distributed Edge Learning Environments' at the IEEE Intelligent Environments (IE 2023) Conference, Jun 27, 2023 - Jun 30, 2023, Mauritius.

@TRACE_HORIZON had the KoM (12-13/06) in Athens at @dit_uoa. 28 partners from 11 countries will work the next 3 years to offer a universal platform with functionalities related to planning, scheduling, optimization and events management for the logistics sector.

Wed, 14 Jun 2023 19:31:00 BST

@TRACE_HORIZON had the KoM (12-13/06) in Athens at @dit_uoa. 28 partners from 11 countries will work the next 3 years to offer a universal platform with functionalities related to planning, scheduling, optimization and events management for the logistics sector.

IEEE ICDM/MAB-KD 2023 Multi-Armed Bandits for Knowledge Discovery Workshop

Tue, 02 May 2023 09:02:00 BST

The MAB-KD 2023 Workshop, in conjunction with the 23rd IEEE ICDM 2023 Conference, Dec 4, 2023, Shanghai, China, aims to provide a forum for disseminating late-breaking research ideas, paradigms, and results related to the adoption and current developments of MAB systems in knowledge discovery and data mining in a high variety of application domains, bringing together researchers from academia and industry.

2nd IEEE EdgeAI-IoT 2023 Workshop in conjunction with IEEE 9th World Forum on Internet of Things 12–27 October 2023, Aveiro, Portugal

Tue, 02 May 2023 09:02:00 BST

2nd IEEE EdgeAI-IoT 2023 Workshop in conjunction with IEEE 9th World Forum on Internet of Things 12–27 October 2023, Aveiro, Portugal

Dr Natascha Weber from BMW, Germany, will visit our school and give us a talk (Location: SAWB 422, School of Computing Science)

Fri, 05 May 2023 09:10:00 BST

BMW as an automotive company aims to provide the customer with a unique driving experience. Not only is the area of autonomous driving a key to enable this but also interior functionalities enriched with Artificial Intelligence. We as the research department try to lead the car to a next generation. During the presentation I will introduce multiple projects we work on and how AI and innovative technology is used inside the company to ensure premium quality of our cars.

Alan Turing Network Workshop for 'AI in Geotechnics', at Mazumdar Shaw Advanced Research Centre (R237), 18-19 MAY 2023, University of Glasgow.

Thu, 09 Mar 2023 06:40:00 GMT

The aim of this workshop is to showcase and promote research on data science, machine learning and artificial intelligence in geotechnical engineering in the UK It will be attended by academic researchers and geotechnical engineers. This workshop is supported by the Turing Network Funding of the Alan Turing Institute and EPSRC IAA.

Special Issue on Pervasive Edge Computing: IoT-Edge Convergence is now open; Discovery Internet of Things, Springer.

Mon, 27 Feb 2023 22:43:00 GMT

Special Issue of Pervasive Edge Computing: IoT-Edge Convergence is now open; Discovery Internet of Things, Springer.

'Knowledge Engineering at the Edge' by Dr Anagnostopoulos, at University of Lleida, Spain

Thu, 23 Feb 2023 22:41:00 GMT

Talk on 'Knowledge Engineering at the Edge'

Our paper 'Query-driven Edge Node Selection in Distributed Learning Environments' is accepted in the IEEE DASC/ICDE 2023 Conference (3-7/4 Anaheim, CA, US).

Sat, 04 Feb 2023 16:49:00 GMT

Our paper 'Query-driven Edge Node Selection in Distributed Learning Environments' is accepted in the IEEE DASC/ICDE 2023 Conference (3-7/4 Anaheim, CA, US).

Open PhD Calls on Distributed Learning Systems, Distributed AI/Federated Learning, Resilient Machine Learning.

Mon, 28 Nov 2022 22:12:00 GMT

Open PhD Calls on Distributed Learning Systems, Distributed AI/Federated Learning, Resilient Machine Learning. Funding opportunities deadline: 31 JAN 2023-check here: https://lnkd.in/eraqDpZD

Knowledge Re-usability at the Edge talk at Scottish Autonomous Networked Systems, UofG, 12 - 13th December 2022

Mon, 12 Dec 2022 18:07:00 GMT

'Knowledge Re-usability at the Edge' talk by Dr Anagnostopoulos, SANS 2022, UofG, 12 - 13th December 2022

Dr Anagnostopoulos has been appointed as Associate Editor in Frontiers in the Internet of Things.

Fri, 18 Nov 2022 07:18:00 GMT

Dr Anagnostopoulos has been appointed as Associate Editor of the section: Artificial Intelligence of Things, in Frontiers in the Internet of Things

IEEE EdgeAI-IoT 2022 Programme

Fri, 07 Oct 2022 17:17:00 BST

The programme of EdgeAI-IoT 2022 in conjunction with 8th IEEE WFIoT2022 is now available!

SICSA DVF Talk

Mon, 26 Sep 2022 17:16:00 BST

DVF Talk on: Data-Aware Task-offloading Decision Making at the Network Edge by Dr Kolomvatsos, School of Computing Science, University of Glasgow

Our IEEE Transactions on Network and Service Management article is published

Fri, 14 Oct 2022 11:08:00 BST

Our IEEE Transactions on Network and Service Management article: 'A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications' by K Kolomvatsos and C Anagnostopoulos, has just been published on IEEE Xplore.

SICSA DVF Talk: The Role of Artificial Intelligence in Education by Dr Kolomvatsos, Strathclyde University

Wed, 26 Oct 2022 10:24:00 BST

Dr Kolomvtsos's talk, supported by the SICSA DVF scheme and Strathclyde Technology Enhanced Teaching and Learning (TETL) Network, will provide a general introduction to the field of Artificial Intelligence and its adoption in Education. (27/10/2022; 4:30 pm - 6:00 pm; University of Strathclyde, School of Education)

DASC 2023 will be held on April 3rd 2023 at the 39th IEEE International Conference on Data Engineering (ICDE 2023) from 3rd-7th April 2023 in Anaheim, California, USA

Fri, 04 Nov 2022 15:20:00 GMT

DASC 2023 will be held on April 3rd 2023 at the 39th IEEE International Conference on Data Engineering (ICDE 2023) from 3rd-7th April 2023 in Anaheim, California, USA. DASC 2023 aims to gather people interested in the data aspects within the smart city context.