Kai Yue
College of Engineering
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Works (2)
Updated: April 5th, 2024 15:25
2022 journal article
Communication-Efficient Federated Learning via Predictive Coding
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 16(3), 369–380.
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)
open access via arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
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.
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 Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: January 9, 2023
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