{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:53:27Z","timestamp":1782762807106,"version":"3.54.5"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"13","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271066"],"award-info":[{"award-number":["62271066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Project Program of Guangxi Key Laboratory of Digital Infrastructure","award":["GXDIOP2024018"],"award-info":[{"award-number":["GXDIOP2024018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,7,1]]},"DOI":"10.1109\/jiot.2026.3682665","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T20:00:17Z","timestamp":1775851217000},"page":"28456-28464","source":"Crossref","is-referenced-by-count":0,"title":["Trustworthy Collaborative Inference in Edge LLM Servicing: The Credibility-Aware MoE Scheduling"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0554-5695","authenticated-orcid":false,"given":"Jinyang","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1904-6557","authenticated-orcid":false,"given":"Shengli","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3306-6563","authenticated-orcid":false,"given":"Fan","family":"Feng","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Digital Infrastructure, Guangxi Zhuang Autonomous Region Information Center, Nanning, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6163-9654","authenticated-orcid":false,"given":"Chengbo","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-024-04044-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-51465-9"},{"key":"ref3","article-title":"ReKep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation","author":"Huang","year":"2024","journal-title":"arXiv:2409.01652"},{"key":"ref4","article-title":"Outrageously large neural networks: The sparsely-gated mixture-of-experts layer","author":"Shazeer","year":"2017","journal-title":"arXiv:1701.06538"},{"issue":"120","key":"ref5","first-page":"1","article-title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity","volume":"23","author":"Fedus","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref6","article-title":"DeepSeek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning","author":"Guo","year":"2025","journal-title":"arXiv:2501.12948"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3546466"},{"key":"ref8","article-title":"PrivateLoRA for efficient privacy preserving LLM","author":"Wang","year":"2023","journal-title":"arXiv:2311.14030"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3042433"},{"key":"ref10","first-page":"87","article-title":"AWQ: Activation-aware weight quantization for on-device llm compression and acceleration","volume":"6","author":"Lin","year":"2024","journal-title":"Proc. Mach. Learn. Syst."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3524255"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680786"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2025.104309"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM52923.2024.10901084"},{"key":"ref15","article-title":"MoE-CAP: Benchmarking cost, accuracy and performance of sparse mixture-of-experts systems","author":"Jiang","year":"2024","journal-title":"arXiv:2412.07067"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.peva.2020.102183"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3593044"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2023.108197"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.43"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2986702"},{"key":"ref21","article-title":"Blades: A unified benchmark suite for Byzantine attacks and defenses in federated learning","author":"Li","year":"2022","journal-title":"arXiv:2206.05359"},{"key":"ref22","first-page":"1","article-title":"Deep autoencoding Gaussian mixture model for unsupervised anomaly detection","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zong"},{"key":"ref23","article-title":"Stackelberg game-theoretic learning for collaborative assembly task planning","author":"Zhao","year":"2024","journal-title":"arXiv:2404.12570"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3295500.3356191"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11581326\/11479318.pdf?arnumber=11479318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T19:42:08Z","timestamp":1782762128000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11479318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,1]]},"references-count":25,"journal-issue":{"issue":"13"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3682665","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,1]]}}}