CHIST-ERA · 2025–2028

SHIELD

Reliable Distributed Learning and Smart Contract-assisted Digital Ecosystems

Project summary People Publications

Coordinator
Dr. Viet Pham, Trinity College Dublin
Countries
Ireland, Luxembourg, Taiwan, Türkiye
Partners
4 universities
Call
Call 2023 — Smart Contracts for Digital Transformation Ecosystems (SmartC)

Smart contracts (SC) are transforming how we can enhance automated public services and how the services are executed and controlled in digital ecosystems. Distributed artificial intelligence (DAI) is a new AI paradigm that uses distributed device computing resources to improve data privacy. It is natural to combine SC and DAI to address challenging research issues, including data privacy, security, and network scalability, thus fostering efficient and responsible actions for reliable digital transformation ecosystems in smart cities and novel energy management models. Although promising, there is no high-level reference framework for designing novel SC/DAI-driven solutions and benchmarking testbeds for essential use cases and scaling their implementation internationally. The SHIELD project will offer a new SC/DAI-driven holistic, security, and privacy service architecture and apply it to important use cases in blockchain network ecosystems and smart city/smart energy case studies.

Consortium

All people
Trinity College Dublin logo

Trinity College Dublin

Dublin, Ireland

Koç University logo

Koç University

İstanbul, Türkiye

University of Luxembourg logo

University of Luxembourg

Luxembourg, Luxembourg

National Chung Cheng University logo

National Chung Cheng University

Chiayi, Taiwan

Principal investigators

Principal investigator

Dr. Viet Pham

Trinity College Dublin

Principal investigator

Prof. Öznur Özkasap

Professor

Koç University

Principal investigator

Dr. Vu Nguyen HA

University of Luxembourg

Principal investigator

Dr. Van-Linh Nguyen

National Chung Cheng University

Recent highlights

All highlights

Meeting · 30 Sep 2025

Project kickoff meeting

Presentation

NIAA: Neuroplasticity-inspired adaptive aggregation method for federated learning

IEEE 3rd International Conference on Federated Learning Technologies and Applications (FLTA), 2025

Presentation

FedAR: Adaptive Client Selection Strategy for Heterogeneous Federated Learning

IEEE International Conference on Communications (ICC), 2026

Recent publications

All publications

2026

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with Adam

Thieu Nguyen Van, Ti Ti Nguyen, Ons Aouedi, Vu Nguyen Ha, and Symeon Chatzinotas

IEEE Global Communications Conference (GLOBECOM)