2 citations · 3 across the 4 of their papers we have counts for
5 papers
Sensing-Assisted Channel Prediction in Complex Wireless Environments: An LLM-Based Approach
Junjie He, Zixiang Ren, Jianping Yao +3
This letter studies the sensing-assisted channel prediction for a multi-antenna orthogonal frequency division multiplexing (OFDM) system operating in realistic and complex wireless…
Integrated Sensing, Communication, and Powering over Multi-antenna OFDM Systems
Yilong Chen, Chao Hu, Zixiang Ren +5
This paper considers a multi-functional orthogonal frequency division multiplexing (OFDM) system with integrated sensing, communication, and powering (ISCAP), in which a multi-ante…
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
Shiyuan Zuo, Rongfei Fan, Han Hu +2
In this paper, we propose a robust aggregation method for federated learning (FL) that can effectively tackle malicious Byzantine attacks. At each user, model parameter is firstly…
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Zhuang Qi, Lei Meng, Zitan Chen +3
Federated Learning aims to learn a global model on the server side that generalizes to all clients in a privacy-preserving manner, by leveraging the local models from different cli…
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning
Huaizheng Zhang, Yong Luo, Qiming Ai +1
Given the massive market of advertising and the sharply increasing online multimedia content (such as videos), it is now fashionable to promote advertisements (ads) together with t…