{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T06:10:15Z","timestamp":1747894215381,"version":"3.41.0"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,31]]},"DOI":"10.23919\/date64628.2025.10992874","type":"proceedings-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T17:36:35Z","timestamp":1747848995000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Enabling Memory-Efficient On-Device Learning via Dataset Condensation"],"prefix":"10.23919","author":[{"given":"Gelei","family":"Xu","sequence":"first","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ningzhi","family":"Tang","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Xia","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiyang","family":"Qin","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Jin","sequence":"additional","affiliation":[{"name":"Emory University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyu","family":"Shi","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3197491"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s19224837"},{"key":"ref3","article-title":"A survey of deep learning techniques for mobile robot applications","author":"Shabbir","year":"2018","journal-title":"arXiv preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11651"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5753\/jbcs.2024.3966"},{"key":"ref7","article-title":"On tiny episodic memories in continual learning","author":"Chaudhry","year":"2019","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tcad.2023.3347640"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3147.3165"},{"key":"ref10","article-title":"Gradient based sample selection for online continual learning","volume":"32","author":"Aljundi","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Dataset distillation","author":"Wang","year":"2018","journal-title":"arXiv preprint"},{"key":"ref12","article-title":"Dataset condensation with gradient matching","author":"Zhao","year":"2020","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00645"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00371"},{"key":"ref15","article-title":"Empirical guidelines for deploying llms onto resource-constrained edge devices","author":"Qin","year":"2024","journal-title":"arXiv preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586228"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3676536.3676815"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892299"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC58780.2024.10473847"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3649329.3655665"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3676536.3676674"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793982"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref24","first-page":"15920","article-title":"Dark experience for general continual learning: a strong, simple baseline","volume":"33","author":"Buzzega","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00814"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01045"},{"key":"ref27","first-page":"12674","article-title":"Dataset condensation with differentiable siamese augmentation","volume-title":"International Conference on Machine Learning","author":"Zhao","year":"2021"},{"key":"ref28","first-page":"12352","article-title":"Dataset condensation with contrastive signals","volume-title":"International Conference on Machine Learning","author":"Lee","year":"2022"},{"key":"ref29","first-page":"11 102","article-title":"Dataset condensation via efficient synthetic-data parameterization","volume-title":"International Conference on Machine Learning","author":"Kim","year":"2022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367329"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref32","first-page":"3833","article-title":"Rethinking pretraining and self-training","volume":"33","author":"Zoph","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539429"},{"key":"ref34","article-title":"Darts: Differentiable architecture search","author":"Liu","year":"2018","journal-title":"arXiv preprint"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref35"},{"key":"ref36","first-page":"18661","article-title":"Supervised contrastive learning","volume":"33","author":"Khosla","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.106"},{"key":"ref38","first-page":"17","article-title":"Core50: a new dataset and benchmark for continuous object recognition","volume-title":"Conference on robot learning","author":"Lomonaco","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_45"},{"key":"ref40","article-title":"Accelerating deep learning by focusing on the biggest losers","author":"Jiang","year":"2019","journal-title":"arXiv preprint"},{"key":"ref41","first-page":"5464","article-title":"Gradmatch: Gradient matching based data subset selection for efficient deep model training","volume-title":"International Conference on Machine Learning","author":"Killamsetty","year":"2021"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3044473"},{"key":"ref43","article-title":"Active learning for convolutional neural networks: A core-set approach","author":"Sener","year":"2017","journal-title":"arXiv preprint"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/s23156893"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"}],"event":{"name":"2025 Design, Automation &amp; Test in Europe Conference (DATE)","start":{"date-parts":[[2025,3,31]]},"location":"Lyon, France","end":{"date-parts":[[2025,4,2]]}},"container-title":["2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10992638\/10992588\/10992874.pdf?arnumber=10992874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T05:34:31Z","timestamp":1747892071000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10992874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":45,"URL":"https:\/\/doi.org\/10.23919\/date64628.2025.10992874","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}