activity
20142024
most citedCompression with Exact Error Distribution for Federated Learning

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IT2024

Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation

Cheuk Ting Li

We study different notions of pointwise redundancy in variable-length lossy source coding. We present a construction of one-shot variable-length lossy source coding schemes using t…

cs.LG20234 cited

Compression with Exact Error Distribution for Federated Learning

Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li +1

Compression schemes have been extensively used in Federated Learning (FL) to reduce the communication cost of distributed learning. While most approaches rely on a bounded variance…

cs.CR20231 cited

Communication-Efficient Laplace Mechanism for Differential Privacy via Random Quantization

Ali Moradi Shahmiri, Chih Wei Ling, Cheuk Ting Li

We propose the first method that realizes the Laplace mechanism exactly (i.e., a Laplace noise is added to the data) that requires only a finite amount of communication (whereas th…

cs.IT2023

A Poisson Decomposition for Information and the Information-Event Diagram

Cheuk Ting Li

Information diagram and the I-measure are useful mnemonics where random variables are treated as sets, and entropy and mutual information are treated as a signed measure. Although…

cs.CR2023

Unconditionally Secure Access Control Encryption

Cheuk Ting Li, Sherman S. M. Chow

Access control encryption (ACE) enforces, through a sanitizer as the mediator, that only legitimate sender-receiver pairs can communicate, without the sanitizer knowing the communi…

stat.ML2014

Locally Weighted Learning for Naive Bayes Classifier

Kim-Hung Li, Cheuk Ting Li

As a consequence of the strong and usually violated conditional independence assumption (CIA) of naive Bayes (NB) classifier, the performance of NB becomes less and less favorable…