Balanced energy consumption based on historical participation of resource-constrained devices in federated edge learning
In recent years, Federated Edge Learning has gained interest from both industry and
academia for deployment at the wireless network edge. However, some resource-restricted …
academia for deployment at the wireless network edge. However, some resource-restricted …
Green federated learning-based models and protocols
A Taik, A Abouaomar, S Cherkaoui - Green Machine Learning …, 2024 - taylorfrancis.com
Federated learning (FL) is a key technique for training machine learning models in a
collaborative and privacy-promoting fashion. FL is based on the iterative training of a shared …
collaborative and privacy-promoting fashion. FL is based on the iterative training of a shared …
Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks
B Nour, S Cherkaoui - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Federated Edge Learning (FEEL) is a promising distributed learning technique that aims to
train a shared global model while reducing communication costs and promoting users' …
train a shared global model while reducing communication costs and promoting users' …
Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks
In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Federated Learning Framework Over Wireless Edge Network: Optimizing Resources and Learning Algorithms
AMA Albaseer - 2022 - search.proquest.com
The extraordinary improvements in the Internet of Things (IoT), ubiquitous communications,
and Artificial Intelligence (AI) have induced an exponential growth in the size of data …
and Artificial Intelligence (AI) have induced an exponential growth in the size of data …