{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:22:23Z","timestamp":1792786943126,"version":"4.5.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities","award":["510224057"],"award-info":[{"award-number":["510224057"]}]},{"name":"National Natural Science Foundation of China","award":["62425105"],"award-info":[{"award-number":["62425105"]}],"id":[{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tnsm.2026.3734530","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T19:11:29Z","timestamp":1789672289000},"page":"7706-7720","source":"Crossref","is-referenced-by-count":0,"title":["RoQuant: Resilient LLM Service Provisioning and Resource Management in Soft-Error-Prone Satellite Networks"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9792-2780","authenticated-orcid":false,"given":"Ang","family":"Cao","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9096-3617","authenticated-orcid":false,"given":"Xiaodan","family":"Yan","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3716-8248","authenticated-orcid":false,"given":"Yongli","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4061-4271","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3912-1984","authenticated-orcid":false,"given":"Ruiqi","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-024-4425-y"},{"key":"ref2","article-title":"Enabling near-realtime remote sensing via satellite-ground collaboration of large vision-language models","author":"Li","year":"2025","journal-title":"arXiv:2510.24242"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01334"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2022.3197695"},{"issue":"1","key":"ref5","first-page":"17","article-title":"Harsh environments: Space radiation environment, effects, and mitigation","volume":"28","author":"Maurer","year":"2008","journal-title":"Johns Hopkins APL Tech. Dig."},{"key":"ref6","article-title":"Rethinking the outlier distribution in large language models: An in-depth study","author":"Raman","year":"2025","journal-title":"arXiv:2505.21670"},{"key":"ref7","article-title":"Massive activations in large language models","author":"Sun","year":"2024","journal-title":"arXiv:2402.17762"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/science.206.4420.776"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1147\/rd.401.0041"},{"key":"ref10","first-page":"1463","article-title":"DeepHammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips","volume-title":"Proc. USENIX Secur. Symp.","author":"Yao"},{"key":"ref11","first-page":"38087","article-title":"SmoothQuant: Accurate and efficient post-training quantization for large language models","volume-title":"Proc. Int. Conf. Mach. Learn","author":"Xiao"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SMC58881.2025.11342731"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.225"},{"key":"ref14","article-title":"GPTQ: Accurate post-training quantization for generative pre-trained transformers","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Frantar"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2198"},{"key":"ref16","article-title":"AWQ: Activation-aware weight quantization for LLM compression and acceleration","author":"Lin","year":"2023","journal-title":"arXiv:2306.00978"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i12.29237"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1147\/rd.62.0200"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tc.1984.1676475"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3710848.3710870"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/iccd65941.2025.00068"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref23","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NIPS","author":"Brown"},{"key":"ref24","article-title":"LLaMA: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv:2302.13971"},{"key":"ref25","article-title":"BitFlipScope: Scalable fault localization and recovery for bit-flip corruptions in LLMs","author":"Karamat","year":"2025","journal-title":"arXiv:2512.22174"},{"key":"ref26","article-title":"SBFA: Single sneaky bit flip attack to break large language models","author":"Guo","year":"2025","journal-title":"arXiv:2509.21843"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/mci.2021.3084393"},{"key":"ref28","article-title":"Neuroevolution-enhanced multi-objective optimization for mixed-precision quantization","author":"Miret","year":"2021","journal-title":"arXiv:2106.07611"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0441"},{"key":"ref31","article-title":"Outliers and calibration sets have diminishing effect on quantization of modern LLMs","author":"Paglieri","year":"2024","journal-title":"arXiv:2405.20835"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/host55342.2024.10545351"},{"key":"ref33","article-title":"Joint computing offloading and resource allocation for classification intelligent tasks in MEC systems","author":"Zheng","year":"2023","journal-title":"arXiv:2307.03205"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tvlsi.2023.3317138"},{"key":"ref35","article-title":"Zero memory overhead approach for protecting vision transformer parameters","author":"Baradaran","year":"2025","journal-title":"arXiv:2507.03816"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2014.2330661"},{"key":"ref37","first-page":"32100","article-title":"DoRA: Weight-decomposed low-rank adaptation","volume-title":"Proc. 41st Int. Conf. Mach. Learn. (ICML)","volume":"235","author":"Liu"},{"key":"ref38","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Hu"},{"key":"ref39","article-title":"PACT: Parameterized clipping activation for quantized neural networks","author":"Choi","year":"2018","journal-title":"arXiv:1805.06085"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2004.14"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2010.262"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/fccm.2015.61"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378473"},{"key":"ref44","article-title":"QuantTune: Optimizing model quantization with adaptive outlier-driven fine tuning","author":"Chen","year":"2024","journal-title":"arXiv:2403.06497"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4275028\/11319294\/11695265.pdf?arnumber=11695265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T15:45:22Z","timestamp":1790264722000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11695265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tnsm.2026.3734530","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}