{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:37:21Z","timestamp":1773376641063,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,25]]},"DOI":"10.1109\/isit54713.2023.10206971","type":"proceedings-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T13:31:15Z","timestamp":1692711075000},"page":"168-173","source":"Crossref","is-referenced-by-count":1,"title":["Personalized PCA for Federated Heterogeneous Data"],"prefix":"10.1109","author":[{"given":"Kaan","family":"Ozkara","sequence":"first","affiliation":[{"name":"UCLA,Department of Electrical and Computer Engineering"}]},{"given":"Bruce","family":"Huang","sequence":"additional","affiliation":[{"name":"UCLA,Department of Electrical and Computer Engineering"}]},{"given":"Suhas","family":"Diggavi","sequence":"additional","affiliation":[{"name":"UCLA,Department of Electrical and Computer Engineering"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"ref12","article-title":"A generative framework for personalized learning and estimation: Theory, algorithms, and privacy","author":"ozkara","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226167"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT54713.2023.10206971"},{"key":"ref11","article-title":"A statistical framework for personalized federated learning and estimation: Theory, algorithms, and privacy","author":"ozkara","year":"0"},{"key":"ref10","article-title":"Personalized federated learning with first order model optimization","author":"zhang","year":"2021","journal-title":"International Conference on Learning Representations"},{"key":"ref2","first-page":"6453","article-title":"Federated principal component analysis","volume":"33","author":"grammenos","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref1","article-title":"Personalized pca: Decoupling shared and unique features","author":"shi","year":"2022"},{"key":"ref16","first-page":"1594","article-title":"Decentralized riemannian gradient descent on the stiefel manifold","author":"chen","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref8","article-title":"Three approaches for personalization with applications to federated learning","author":"mansour","year":"2020"},{"key":"ref7","article-title":"Personalized federated learning with moreau envelopes","author":"dinh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Quped: Quantized personalization via distillation with applications to federated learning","volume":"34","author":"ozkara","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"4465","article-title":"Communication-efficient distributed PCA by Riemannian optimization","volume":"119","author":"huang","year":"0"},{"key":"ref3","first-page":"1203","article-title":"Communication-efficient algorithms for distributed stochastic principal component analysis","volume":"70","author":"garber","year":"0"},{"key":"ref6","article-title":"Personalized federated learning: A meta-learning approach","author":"fallah","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Distributed principal component analysis with limited communication","author":"alimisis","year":"2021","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE International Symposium on Information Theory (ISIT)","location":"Taipei, Taiwan","start":{"date-parts":[[2023,6,25]]},"end":{"date-parts":[[2023,6,30]]}},"container-title":["2023 IEEE International Symposium on Information Theory (ISIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206429\/10206441\/10206971.pdf?arnumber=10206971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T20:27:13Z","timestamp":1773347233000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10206971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,25]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/isit54713.2023.10206971","relation":{},"subject":[],"published":{"date-parts":[[2023,6,25]]}}}