41 citations · 126 across the 35 of their papers we have counts for
36 papers
One-Bit Byzantine-Tolerant Distributed Learning via Over-the-Air Computation
Yuhan Yang, Youlong Wu, Yuning Jiang +1
Distributed learning has become a promising computational parallelism paradigm that enables a wide scope of intelligent applications from the Internet of Things (IoT) to autonomous…
Order Optimal Cascaded Code Distributed Computing With Low Complexity and Improved Flexibility
Mingming Zhang, Youlong Wu, Minquan Cheng +1
Coded distributed computing (CDC), proposed by Li \emph{et al.}, offers significant potential for reducing the communication load in MapReduce computing systems. In cascaded CDC wi…
Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks
Shuai Ma, Ruixin Yang, Chun Du +4
Integrated visible light positioning and communication (VLPC), capable of combining advantages of visible light communications (VLC) and visible light positioning (VLP), is a promi…
Multi-Server Secure Aggregation with Unreliable Communication Links
Kai Liang, Songze Li, Ming Ding +1
In many distributed learning setups such as federated learning (FL), client nodes at the edge use individually collected data to compute local gradients and send them to a central…
Task-Oriented Communications for 6G: Vision, Principles, and Technologies
Yuanming Shi, Yong Zhou, Dingzhu Wen +3
Driven by the interplay among artificial intelligence, digital twin, and wireless networks, 6G is envisaged to go beyond data-centric services to provide intelligent and immersive…
Features Disentangled Semantic Broadcast Communication Networks
Shuai Ma, Weining Qiao, Youlong Wu +6
Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we prop…
Task-oriented Explainable Semantic Communications
Shuai Ma, Weining Qiao, Youlong Wu +6
Semantic communications utilize the transceiver computing resources to alleviate scarce transmission resources, such as bandwidth and energy. Although the conventional deep learnin…
Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs
Minquan Cheng, Youlong Wu, Xianxian Li +1
Coded distributed computing (CDC) introduced by Li \emph{et al.} can greatly reduce the communication load for MapReduce computing systems. In the general cascaded CDC with wor…
Coded Caching Schemes for Two-dimensional Caching-aided Ultra-Dense Networks
Minquan Cheng, Jinwei Xu, Mingming Zhang +1
Coded caching technique is an efficient approach to reduce the transmission load in networks and has been studied in heterogeneous network settings in recent years. In this paper,…
Joint Beamforming and PD Orientation Design for Mobile Visible Light Communications
Shuai Ma, Jing Wang, Chun Du +5
In this paper, we propose joint beamforming and photo-detector (PD) orientation (BO) optimization schemes for mobile visible light communication (VLC) with the orientation adjustab…
Coded Distributed Computing for Hierarchical Multi-task Learning
Haoyang Hu, Songze Li, Minquan Cheng +1
In this paper, we consider a hierarchical distributed multi-task learning (MTL) system where distributed users wish to jointly learn different models orchestrated by a central serv…
Hierarchical Cache-Aided Linear Function Retrieval with Security and Privacy Constraints
Yun Kong, Youlong Wu, Minquan Cheng
The hierarchical caching system where a server connects with multiple mirror sites, each connecting with a distinct set of users, and both the mirror sites and users are equipped w…
Multi-access Coded Caching with Optimal Rate and Linear Subpacketization under PDA and Consecutive Cyclic Placement
Jinyu Wang, Minquan Cheng, Youlong Wu
This work considers the multi-access caching system proposed by Hachem et al., where each user has access to L neighboring caches in a cyclic wrap-around fashion. We first propose…
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
Songjie Xie, Shuai Ma, Ming Ding +3
Task-oriented communications, mostly using learning-based joint source-channel coding (JSCC), aim to design a communication-efficient edge inference system by transmitting task-rel…
Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp
Shuai Ma, Ruixin Yang, Bing Li +6
In this paper, we investigate an integrated visible light positioning and communication (VLPC) system with a single LED-lamp. First, by leveraging the fact that the VLC channel mod…
Optimal Probabilistic Constellation Shaping for Covert Communications
Shuai Ma, Yunqi Zhang, Haihong Sheng +6
In this paper, we investigate the optimal probabilistic constellation shaping design for covert communication systems from a practical view. Different from conventional covert comm…
Covert Beamforming Design for Integrated Radar Sensing and Communication Systems
Shuai Ma, Haihong Sheng, Ruixin Yang +5
We propose covert beamforming design frameworks for integrated radar sensing and communication (IRSC) systems, where the radar can covertly communicate with legitimate users under…
Centralized Hierarchical Coded Caching Scheme over Two-Layer Networks
Yun Kong, Youlong Wu, Minquan Cheng
This paper considers a hierarchical caching system where a server connects with multiple mirror sites, each connecting with a distinct set of users, and both the mirror sites and u…
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Yuhan Yang, Yong Zhou, Youlong Wu +1
Federated learning (FL), as a disruptive machine learning paradigm, enables the collaborative training of a global model over decentralized local datasets without sharing them. It…
Coded Distributed Computing with Pre-set Assignments of Data and Output Functions
Yuhan Wang, Youlong Wu
Coded distributed computing can reduce the communication load for distributed computing systems by introducing redundant computation and creating multicasting opportunities. Howeve…
Wyner-Ziv Gradient Compression for Federated Learning
Kai Liang, Huiru Zhong, Haoning Chen +1
Due to limited communication resources at the client and a massive number of model parameters, large-scale distributed learning tasks suffer from communication bottleneck. Gradient…
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design
Shaoming Huang, Pengfei Zhang, Yijie Mao +2
Federated learning (FL) is recognized as a key enabling technology to support distributed artificial intelligence (AI) services in future 6G. By supporting decentralized data train…
Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
Shuai Ma, Guanjie Zhang, Zhi Zhang +1
In this paper, we focus on the optimal beamformer design for rate splitting multiple access (RSMA)-aided multipleinput single-output (MISO) visible light communication (VLC) networ…
Improved Communication Efficiency for Distributed Mean Estimation with Side Information
Kai Liang, Youlong Wu
In this paper, we consider the distributed mean estimation problem where the server has access to some side information, e.g., its local computed mean estimation or the received in…