{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T07:20:28Z","timestamp":1766128828607,"version":"3.48.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"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":[[2025,9,1]]},"DOI":"10.1109\/pimrc62392.2025.11274718","type":"proceedings-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T18:33:25Z","timestamp":1765564405000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training\n                    <sup>\u2217<\/sup>"],"prefix":"10.1109","author":[{"given":"Ahmad","family":"Dabaja","sequence":"first","affiliation":[{"name":"LIA\/CERI Avignon University,France"}]},{"given":"Rachid","family":"El-Azouzi","sequence":"additional","affiliation":[{"name":"LIA\/CERI Avignon University,France"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"General data protection regulation (gdpr)","volume-title":"Official Journal of the European Union","volume":"L119","author":"Union","year":"2016"},{"key":"ref2","article-title":"California consumer privacy act (ccpa)","volume-title":"California Legislative Information","volume":"AB-375","author":"of California","year":"2018"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)","volume":"54","author":"McMahan"},{"article-title":"On the convergence of fedavg on non-iid data","volume-title":"International Conference on Learning Representations","author":"Li","key":"ref4"},{"key":"ref5","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Karimireddy"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"article-title":"Federated optimization in heterogeneous networks","year":"2018","author":"Sahu","key":"ref7"},{"article-title":"Attention is all you need","year":"2017","author":"Vaswani","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3149783"},{"article-title":"Heterofl: Computation and communication efficient federated learning for heterogeneous clients","volume-title":"International Conference on Learning Representations (ICLR)","author":"Diao","key":"ref10"},{"key":"ref11","first-page":"29677","article-title":"Fedrolex: Modelheterogeneous federated learning with rolling sub-model extraction","volume":"35","author":"Alam","year":"2022","journal-title":"Advances in neural information processing systems"},{"article-title":"Straggler-resilient federated learning: Tackling computation heterogeneity with layer-wise partial model training in mobile edge network","year":"2023","author":"Wu","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS60910.2024.00144"},{"key":"ref14","article-title":"Fedplt github respiratory"},{"article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"Xiao","key":"ref15"},{"article-title":"Cifar-10 and cifar-100 datasets","year":"2009","author":"Krizhevsky","key":"ref16"}],"event":{"name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","start":{"date-parts":[[2025,9,1]]},"location":"Istanbul, Turkiye","end":{"date-parts":[[2025,9,4]]}},"container-title":["2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11274530\/11274549\/11274718.pdf?arnumber=11274718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T07:17:12Z","timestamp":1766128632000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11274718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,1]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/pimrc62392.2025.11274718","relation":{},"subject":[],"published":{"date-parts":[[2025,9,1]]}}}