In this paper, the problem of audio semantic communication over wireless networks is
investigated. In the considered model, wireless edge devices transmit large-sized audio …

Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

In this paper, we develop a deep learning based semantic communication system for
speech transmission, named DeepSC-ST. We take the speech recognition and speech …

Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …

Semantic communications could improve the transmission efficiency significantly by
exploring the semantic information. In this paper, we make an effort to recover the …

With the development of deep learning (DL), natural language processing (NLP) makes it
possible for us to analyze and understand a large amount of language texts. Accordingly, we …

Recently, semantic communications are envisioned as a key enabler of future 6G networks.
Back to Shannon's information theory, the goal of communication has long been to …

Federated learning (FL) has gained substantial attention in recent years due to data privacy
concerns related to the pervasiveness of consumer devices that continuously collect data …

Semantic communications have emerged as a new paradigm for improving communication
efficiency by transmitting the semantic information of a source message that is most relevant …

Federated Learning is a machine learning setting where the goal is to train a high-quality
centralized model while training data remains distributed over a large number of clients …