9 papers
In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications
Tingyu Ding, Qunsong Zeng, Kaibin Huang
The development of sixth-generation (6G) mobile networks imposes unprecedented latency and reliability demands on multiple-input multiple-output (MIMO) communication systems, a key…
Unanticipated Adversarial Robustness of Semantic Communication
Runxin Zhang, Yulin Shao, Hongyu An +2
Semantic communication, enabled by deep joint source-channel coding (DeepJSCC), is widely expected to inherit the vulnerability of deep learning to adversarial perturbations. This…
SiftMoE: Similarity-Aware Energy-Efficient Expert Selection for Wireless Distributed MoE Inference
Qian Chen, Xianhao Chen, Kaibin Huang
Mixture-of-Experts (MoE) architectures leverage sparse activation to enhance the scalability of large language models (LLMs), making them suitable for deployment in resource-constr…
Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications
Shunpu Tang, Qianqian Yang, Jihong Park +3
Learning-based semantic communication (SemCom) has recently emerged as a promising paradigm for improving the transmission efficiency of wireless networks. However, existing method…
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
Jierui Zhang, Jianhao Huang, Kaibin Huang
Federated learning (FL) has emerged as a widely adopted paradigm for enabling edge learning with distributed data while ensuring data privacy. However, the traditional FL with deep…
Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication
Jianhao Huang, Qunsong Zeng, Hongyang Du +1
Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial…