{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T15:54:16Z","timestamp":1730303656277,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"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":[[2023,10,10]]},"DOI":"10.1109\/vtc2023-fall60731.2023.10333403","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:37:48Z","timestamp":1702323468000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["GreenEdge: Neural-enhanced Green Workload Coordination for Ubiquitous Edge Intelligence"],"prefix":"10.1109","author":[{"given":"Tina Ziting","family":"Xu","sequence":"first","affiliation":[{"name":"Beijing Normal University & Hong Kong Baptist University United International College,Faculty of Science and Technology,Zhuhai,China"}]},{"given":"Adolf K. Y.","family":"Ng","sequence":"additional","affiliation":[{"name":"Beijing Normal University & Hong Kong Baptist University United International College,Faculty of Business and Management,Zhuhai,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3057017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3019724"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2933899"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2971781"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2948888"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2918951"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3004500"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3063147"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126078"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3135119"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2956615"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3096076"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3018809"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3100298"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2938509"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3068056"},{"key":"ref17","first-page":"177","article-title":"Octo: INT8 training with loss-aware compensation and backward quantization for tiny on-device learning","volume-title":"Proc. of USENIX ATC","author":"Zhou"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3119038"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.35833\/MPCE.2020.000271"},{"article-title":"Chain of thought prompting elicits reasoning in large language models","volume-title":"Proc. of Neur IPS","author":"Wei","key":"ref20"},{"article-title":"Lora: Low-rank adaptation of large language models","volume-title":"Proc. of ICLR","author":"Hu","key":"ref21"},{"article-title":"Training language models to follow instructions with human feedback","volume-title":"Proc. of NeurIPS","author":"O","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2012.6168948"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF01130406"},{"key":"ref25","first-page":"3082","article-title":"Global concavity and optimization in a class of dynamic discrete choice models","volume-title":"Proc. ICML","volume":"119","author":"Feng"},{"article-title":"Hardness in markov decision processes: Theory and practice","volume-title":"Proc. of NeurIPS","author":"Conserva","key":"ref26"},{"article-title":"Semi-infinitely constrained markov decision processes","volume-title":"Proc. of NeurIPS","author":"Zhang","key":"ref27"},{"article-title":"Exponential bellman equation and improved regret bounds for risk-sensitive reinforcement learning","volume-title":"Proc. of NeurIPS","author":"Fei","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900292"},{"article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"Howard","key":"ref30"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref31"},{"article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","year":"2017","author":"Xiao","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2854744"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838659"}],"event":{"name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","start":{"date-parts":[[2023,10,10]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2023,10,13]]}},"container-title":["2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10333258\/10333344\/10333403.pdf?arnumber=10333403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T23:49:31Z","timestamp":1703029771000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10333403\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,10]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/vtc2023-fall60731.2023.10333403","relation":{},"subject":[],"published":{"date-parts":[[2023,10,10]]}}}