no code implementations • 18 Apr 2024 • Alaa Saleh, Praveen Kumar Donta, Roberto Morabito, Naser Hossein Motlagh, Lauri Lovén
This article introduces Follow-Me AI, a concept designed to enhance user interactions with smart environments, optimize energy use, and provide better control over data captured by these environments.
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.
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.
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.
no code implementations • 28 Nov 2023 • Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar
We present our framework for collaborative edge intelligence enabling individual edge devices to (1) develop a causal understanding of how to enforce their SLOs, and (2) transfer knowledge to speed up the onboarding of heterogeneous devices.
no code implementations • 17 Nov 2023 • Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar
Machine Learning (ML) is a common tool to interpret and predict the behavior of distributed computing systems, e. g., to optimize the task distribution between devices.
no code implementations • 17 Nov 2023 • Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar
Compute Continuum (CC) systems comprise a vast number of devices distributed over computational tiers.
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.
no code implementations • 26 Jan 2021 • Dinesh Kumar Sah, Praveen Kumar Donta, Tarachand Amgoth
In wireless sensor networks (WSNs), simulation practices, system models, algorithms, and protocols have been published worldwide based on the assumption of randomness.
Networking and Internet Architecture