Progressing towards a new era of Artificial Intelligence (AI) - enabled
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With an increasing number of smart devices like internet of things (IoT)...
Federated Learning (FL) has emerged as a decentralized technique, where
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Federated learning (FL) is usually performed on resource-constrained edg...
Federated Learning (FL) is an emerging machine learning technique that
e...
We formulate offloading of computational tasks from a dynamic group of m...
Performance of vehicle-to-vehicle (V2V) communications depends highly on...
We propose a multi-agent distributed reinforcement learning algorithm th...
We formulate computation offloading as a decentralized decision-making
p...
Devices participating in federated learning (FL) typically have heteroge...
We study the problem of distributed training of neural networks (NNs) on...
We consider a distributed system, consisting of a heterogeneous set of
d...
Vehicle-to-vehicle (V2V) communications have distinct challenges that ne...
Radio resources in vehicle-to-vehicle (V2V) communication can be schedul...