19 citations · 32 across the 10 of their papers we have counts for
10 papers
Quantum Entropy Prover
Shao-Lun Huang, Tobias Rippchen, Mario Berta
Information inequalities govern the ultimate limitations in information theory and as such play an pivotal role in characterizing what values the entropy of multipartite states can…
The First and Second-Order Asymptotics of Covert Communication over AWGN Channels
Xinchun Yu, Shuangqing Wei, Shao-Lun Huang +1
This paper investigates the asymptotics of the maximal throughput of communication over AWGN channels by channel uses under a covert constraint in terms of an upper bound o…
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication
Xinyi Tong, Jian Xu, Shao-Lun Huang
In this paper, we study the information transmission problem under the distributed learning framework, where each worker node is merely permitted to transmit a -dimensional stat…
On Distributed Learning with Constant Communication Bits
Xiangxiang Xu, Shao-Lun Huang
In this paper, we study a distributed learning problem constrained by constant communication bits. Specifically, we consider the distributed hypothesis testing (DHT) problem where…
Euclidean Information Theory of Networks
Shao-Lun Huang, Changho Suh, Lizhong Zheng
In this paper, we extend the information theoretic framework that was developed in earlier work to multi-hop network settings. For a given network, we construct a novel determinist…
Communication Theoretic Data Analytics
Kwang-Cheng Chen, Shao-Lun Huang, Lizhong Zheng +1
Widespread use of the Internet and social networks invokes the generation of big data, which is proving to be useful in a number of applications. To deal with explosively growing a…