1 citations · 1 across the 6 of their papers we have counts for
7 papers
Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication
Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling +1
Record-level differential privacy exposes a structural misalignment in personalized federated learning when client-specific variation is low-dimensional while training repeatedly r…
Communication-Efficient and Privacy-Adaptable Mechanism -- a Federated Learning Scheme with Convergence Analysis
Chun Hei Michael Shiu, Chih Wei Ling
Federated learning enables multiple parties to jointly train learning models without sharing their own underlying data, offering a practical pathway to privacy-preserving collabora…
Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning
Chih Wei Ling, Chun Hei Michael Shiu, Youqi Wu +4
Training machine learning models on decentralized private data via federated learning (FL) poses two key challenges: communication efficiency and privacy protection. In this work,…
Rejection-Sampled Universal Quantization for Smaller Quantization Errors
Chih Wei Ling, Cheuk Ting Li
We construct a randomized vector quantizer which has a smaller maximum error compared to all known lattice quantizers with the same entropy for dimensions 5, 6, ..., 48, and also h…
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…
Vector Quantization with Error Uniformly Distributed over an Arbitrary Set
Chih Wei Ling, Cheuk Ting Li
For uniform scalar quantization, the error distribution is approximately a uniform distribution over an interval (which is also a 1-dimensional ball). Nevertheless, for lattice vec…
Weighted Parity-Check Codes for Channels with State and Asymmetric Channels
Chih Wei Ling, Yanxiao Liu, Cheuk Ting Li
In this paper, we introduce a new class of codes, called weighted parity-check codes, where each parity-check bit has a weight that indicates its likelihood to be one (instead of f…