Kai Yue

College of Engineering

Works (3)

Updated: December 14th, 2024 05:01

2024 article

Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence

2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024, pp. 890–895.

By: P. Dai, K. Yue n, R. Jin*, T. Wu n  & K. Xiong *

author keywords: compressed sensing; approximate message passing; diffusion models; edge computing
Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024

2022 journal article

Communication-Efficient Federated Learning via Predictive Coding

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 16(3), 369–380.

By: K. Yue n, R. Jin n, C. Wong n  & H. Dai n 

author keywords: Predictive models; Servers; Collaborative work; Predictive coding; Entropy coding; Costs; Quantization (signal); Federated learning; distributed optimization; predictive coding
TL;DR: This paper proposes a predictive coding based compression scheme for federated learning that has shared prediction functions among all devices and allows each worker to transmit a compressed residual vector derived from the reference. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: May 31, 2022

2022 article

Federated Learning via Plurality Vote

Yue, K., Jin, R., Wong, C.-W., & Dai, H. (2022, December 7). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 12.

By: K. Yue n, R. Jin *, C. Wong n  & H. Dai n 

author keywords: Distributed optimization; efficient communication; federated learning; neural network quantization
TL;DR: This work proposes a new scheme named federated learning via plurality vote (FedVote), which can reduce quantization error and converges faster compared to the methods directly quantizing the model updates. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
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Sources: Web Of Science, NC State University Libraries
Added: January 9, 2023

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