EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization
Summary
EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization is a scholarly article[1].
Key Facts
EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization. Retrieved May 24, 2026, from https://4ort.xyz/entity/ef-train-enable-efficient-on-device-cnn-training-on-fpga-through-data-reshaping-for-online-adaptation-or-personalization
MLA“EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ef-train-enable-efficient-on-device-cnn-training-on-fpga-through-data-reshaping-for-online-adaptation-or-personalization.
BibTeX@misc{4ortxyz_ef-train-enable-efficient-on-device-cnn-training-on-fpga-through-data-reshaping-for-online-adaptation-or-personalization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization}}, year = {2026}, url = {https://4ort.xyz/entity/ef-train-enable-efficient-on-device-cnn-training-on-fpga-through-data-reshaping-for-online-adaptation-or-personalization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization — https://4ort.xyz/entity/ef-train-enable-efficient-on-device-cnn-training-on-fpga-through-data-reshaping-for-online-adaptation-or-personalization (retrieved 2026-05-24)