Works Published in 2024
Displaying all 5 works
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2024 article
High-Speed Receiver Transient Modeling with Generative Adversarial Networks
2024 IEEE 33RD MICROELECTRONICS DESIGN & TEST SYMPOSIUM, MDTS 2024.
author keywords: Data-Driven; Generative; Macro-model; SerDes; Transient
Sources: Web Of Science, NC State University Libraries
Added: August 26, 2024
2024 journal article
Student experiences with a molecular biotechnology course containing an interactive 3D immersive simulation and its impact on motivational beliefs
PLOS ONE, 19(7).
open access via doi.org (publisher)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 14, 2024
2024 article
Before Biodiversity: Trajectories of National Parks in Latin America (1930s-1980s)
Freitas, F., Leal, C., & Wakild, E. (2024, May 3). LATIN AMERICAN RESEARCH REVIEW, Vol. 5.
author keywords: national parks; state; nature; forests; landscapes; science; parques nacionales; estado; naturaleza; bosques; paisajes; ciencia
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 8, 2024
2024 journal article
Placing Insects in Histories of Science
ISIS, 115(1), 136–140.
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 15, 2024
2024 article
Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience
Jin, R., Liu, Y., Huang, Y., He, X., Wu, T., & Dai, H. (2024, January 12). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 1.
author keywords: Byzantine resilience; communication efficiency; data heterogeneity; federated learning (FL); sign-based gradient descent
TL;DR:
A novel magnitude-driven stochastic-sign-based gradient compressor is proposed to address the non-convergence issue of signSGD, and the convergence of the proposed method is established in the presence of arbitrary data heterogeneity.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: March 11, 2024
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