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W for AI-Edge Devices.

W. Khwa, P. Wu, J. Wu, J. Su, H. Chen, Z. Ke, T. Chiu, J. Hsu, C. Cheng, Y. Chen, C. Lo, R. Liu, C. Hsieh, K. Tang, and M. Chang. ISSCC, page 568-570. IEEE, (2024)

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Yu Chen

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A Floating-Point 6T SRAM In-Memory-Compute Macro Using Hybrid-Domain Structure for Advanced AI Edge Chips.P. Wu, J. Su, L. Hong, J. Ren, C. Chien, H. Chen, C. Ke, H. Hsiao, S. Li, S. Sheu and 7 other author(s). IEEE J. Solid State Circuits, 59 (1): 196-207 (January 2024)On the Impact of Device and Behavioral Heterogeneity in Federated Learning.A. Abdelmoniem, C. Ho, P. Papageorgiou, M. Bilal, and M. Canini. CoRR, (2021)A Comprehensive Empirical Study of Heterogeneity in Federated Learning.A. Abdelmoniem, C. Ho, P. Papageorgiou, and M. Canini. IEEE Internet Things J., 10 (16): 14071-14083 (August 2023)Scaling Distributed Machine Learning with In-Network Aggregation.A. Sapio, M. Canini, C. Ho, J. Nelson, P. Kalnis, C. Kim, A. Krishnamurthy, M. Moshref, D. Ports, and P. Richtárik. CoRR, (2019)A 22nm 832Kb Hybrid-Domain Floating-Point SRAM In-Memory-Compute Macro with 16.2-70.2TFLOPS/W for High-Accuracy AI-Edge Devices.P. Wu, J. Su, L. Hong, J. Ren, C. Chien, H. Chen, C. Ke, H. Hsiao, S. Li, S. Sheu and 7 other author(s). ISSCC, page 126-127. IEEE, (2023)Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19.Y. Ho, Y. Chen, S. Hung, C. Huang, P. Po, C. Chan, D. Yang, Y. Tu, T. Liu, and C. Fang. CoRR, (2020)On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.A. Dutta, E. Bergou, A. Abdelmoniem, C. Ho, A. Sahu, M. Canini, and P. Kalnis. CoRR, (2019)Natural Compression for Distributed Deep Learning.S. Horváth, C. Ho, L. Horvath, A. Sahu, M. Canini, and P. Richtárik. MSML, volume 190 of Proceedings of Machine Learning Research, page 129-141. PMLR, (2022)A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices.P. Wu, J. Su, Y. Chung, L. Hong, J. Ren, F. Chang, Y. Wu, H. Chen, C. Lin, H. Hsiao and 10 other author(s). ISSCC, page 1-3. IEEE, (2022)Hybrid User-Assisted Incremental Model Adaptation for Activity Recognition in a Dynamic Smart-Home Environment.C. Lu, Y. chen Ho, Y. Chen, and L. Fu. IEEE Trans. Hum. Mach. Syst., 43 (5): 421-436 (2013)

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Disambiguation of "Chen, Ho-Yu"

Please choose a person to relate this publication to

Yu Chen

Yu Chen

Yu Chen

Yu Chen

Yu Chen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chen, Ho-Yu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 34.2 A 16nm 96Kb Integer/Floating-Point Dual-Mode-Gain-Cell-Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devices.

Please choose a person to relate this publication to

Yu Chen

Yu Chen

Yu Chen

Yu Chen

Yu Chen

Other publications of authors with the same name

Disambiguation