Entrepreneurship and technology have been strongly connected over the last decades. The
growth of digital technology and external factors have brought entrepreneurs new …

Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …

This paper provides an overview of the most recent advancements and outcomes of the
European 6G flagship project Hexa-X, on the topic of in-network Artificial Intelligence (AI) …

Decentralized machine learning has broadened its scope recently with the invention of
Federated Learning (FL), Split Learning (SL), and their hybrids like Split Federated Learning …

Various deep neural networks (DNNs) including convolutional neural networks (CNNs) and
recurrent neural networks (RNNs) have shown appealing performance in various …

In this paper, we advocate CPN-FedSL, a novel and flexible Federated Split Learning
(FedSL) framework over Computing Power Network (CPN). We build a dedicated model to …

Reliable artificial intelligence systems not only propose a challenge on providing intelligent
services with high quality for customers, but also require customers' privacy to be protected …

Optimizing deep neural network (DNN) models to meet Quality of Service (QoS)
requirements in terms of accuracy and computation is of crucial importance for realizing …

Embedded distributed inference of Neural Networks has emerged as a promising approach
for deploying machine-learning models on resource-constrained devices in an efficient and …

With the rapid growth of the number of devices generating and collecting data, there has
been a surge in the large-scale emergence of artificial intelligence (AI) applications …