CommunityAI: Towards Community-based Federated Learning

no code implementations • 29 Nov 2023 • Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar

Federated Learning (FL) has emerged as a promising paradigm to train machine learning models collaboratively while preserving data privacy.

Federated Learning

Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions

no code implementations • 29 Nov 2023 • Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar

Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively offer computation and storage resources.

Learning-driven Zero Trust in Distributed Computing Continuum Systems

no code implementations • 29 Nov 2023 • Ilir Murturi, Praveen Kumar Donta, Victor Casamayor Pujol, Andrea Morichetta, Schahram Dustdar

To overcome such challenges, we present a novel learning-driven ZT conceptual architecture designed for DCCS.

Decision Making Distributed Computing +2

Federated Domain Generalization: A Survey

no code implementations • 2 Jun 2023 • Ying Li, Xingwei Wang, Rongfei Zeng, Praveen Kumar Donta, Ilir Murturi, Min Huang, Schahram Dustdar

FDG combines the strengths of federated learning (FL) and domain generalization (DG) techniques to enable multiple source domains to collaboratively learn a model capable of directly generalizing to unseen domains while preserving data privacy.

Domain Generalization Federated Learning