Distributed Machine Learning and Native AI Enablers for End-to-End Resources Management in 6G

OA Karachalios, A Zafeiropoulos, K Kontovasilis… - Electronics, 2023 - mdpi.com
6G targets a broad and ambitious range of networking scenarios with stringent and diverse
requirements. Such challenging demands require a multitude of computational and …

Survey of Novel Architectures for Energy Efficient High-Performance Mobile Computing Platforms

O O'Connor, T Elfouly, A Alouani - Energies, 2023 - mdpi.com
There are many real-world applications that require high-performance mobile computing
systems for onboard, real-time processing of gathered data due to latency, reliability …

Machine Learning Orchestration in Cloud Environments: Automating the Training and Deployment of Distributed Machine Learning AI Model

I Sakthidevi, GV Rajkumar, R Sunitha… - … Conference on I …, 2023 - ieeexplore.ieee.org
The rapid advancement of machine learning (ML) and artificial intelligence (AI) has created
an increasing demand for efficient and automated processes in training and deploying AI …

[PDF][PDF] Survey of Novel Architectures for Energy Efficient High-Performance Mobile Computing Platforms. Energies 2023, 16, 6043

O O'Connor, T Elfouly, A Alouani - 2023 - academia.edu
There are many real-world applications that require high-performance mobile computing
systems for onboard, real-time processing of gathered data due to latency, reliability …

Adaptive Reverse Task Offloading in Edge Computing for Ai Processes

P Amanatidis, D Karampatzakis, G Michailidis… - Available at SSRN … - papers.ssrn.com
Nowadays, we witness the proliferation of edge IoT devices, ranging from smart cameras to
autonomous vehicles, with increasing computing capabilities, used to implement AI-based …