Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

Research article (2021 22nd International Symposium on Quality Electronic Design (ISQED), 2021) · cited 34× · AI/ML
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Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

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Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai
MLA “Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai.
BibTeX @misc{4ortxyz_improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI}}, year = {2026}, url = {https://4ort.xyz/entity/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI — https://4ort.xyz/entity/improving-dnn-fault-tolerance-using-weight-pruning-and-differential-crossbar-mapping-for-reram-based-edge-ai (retrieved 2026-05-24)

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