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    <title>privacy-preserving-ml | SKKU IRIS Lab</title>
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      <title>Prof. Bokyung Kim’s Seminar on ‘DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning&#39;</title>
      <link>https://iris-lab.skku.edu/post/seminar_bokyung_kim/</link>
      <pubDate>Tue, 02 Sep 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;2025년 9월 2일, Rutgers University의 김보경 교수님이 성균관대학교를 방문해 “DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning”이라는 주제로 세미나를 진행해 주셨습니다. 세미나는 반도체관 400321호에서 열렸고, IRIS 연구실의 고종환 교수님이 호스트를 맡았습니다.&lt;/p&gt;
&lt;p&gt;이번 발표는 ISLPED 2025에서 Best Paper로 선정된 해당 논문을 소개해 주신 자리였습니다. 교수님께서는 프라이버시 보존형 머신러닝을 보다 효율적으로 지원하기 위한 처리-인-메모리(PIM) 관점의 접근을 설명하시며, DRAM의 병렬성을 활용해 데이터 이동을 줄이고 학습 과정에 맞춘 효율적 데이터 흐름을 적용하는 큰 그림을 공유해 주셨습니다. 연구의 의의와 실제 적용 가능성에 대한 논의도 이어져, 프라이버시 보존형 학습을 위한 하드웨어·시스템적 관점에 대해 한층 깊이 있는 이해가 가능했습니다.&lt;/p&gt;
&lt;p&gt;간단한 약력으로, 김보경 교수님은 Rutgers University 전기·컴퓨터공학과에서 재직 중이며, 메모리 중심 가속기와 PIM, 혼성신호 VLSI, 신뢰할 수 있고 효율적인 머신러닝용 칩·아키텍처·시스템을 연구하고 있습니다. 박사학위는 Duke University에서 취득했습니다.&lt;/p&gt;
&lt;p&gt;바쁜 일정에도 귀한 시간을 내어 주신 김보경 교수님께 깊이 감사드립니다.&lt;/p&gt;
&lt;p&gt;On September 2, 2025, Prof. Bokyung Kim from Rutgers University visited Sungkyunkwan University and delivered a seminar titled “DPIMA: A DRAM-Based Processing-in-Memory Accelerator for Privacy-Preserving Machine Learning.” The seminar took place in the Semiconductor Building, Room 400321, and was hosted by Prof. Jong Hwan Ko for the IRIS Lab.&lt;/p&gt;
&lt;p&gt;This talk introduced the paper that was selected as the ISLPED 2025 Best Paper. Prof. Kim outlined a processing-in-memory perspective for enabling privacy-preserving machine learning more efficiently, describing how leveraging DRAM-level parallelism can reduce data movement and how training-phase–aware dataflows can be applied in practice. The discussion highlighted the significance of the work and its potential for real-world deployment, offering the audience a deeper understanding of hardware and system approaches to privacy-preserving training.&lt;/p&gt;
&lt;p&gt;By way of a brief bio, Prof. Kim is a faculty member in Electrical and Computer Engineering at Rutgers University. Her research spans memory-centric accelerators and PIM, mixed-signal VLSI, and trustworthy, efficient machine-learning chips, architectures, and systems. She received her Ph.D. from Duke University.&lt;/p&gt;
&lt;p&gt;We sincerely thank Prof. Bokyung Kim for sharing her time and insights with the IRIS Lab.&lt;/p&gt;
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