1 citations · 3 across the 8 of their papers we have counts for
11 papers
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…
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…
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…
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…
Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources
Shu-Jie Cao, Lihui Yi, Haoning Chen +1
A central issue of distributed computing systems is how to optimally allocate computing and storage resources and design data shuffling strategies such that the total execution tim…