{"id":"https://openalex.org/W4386320516","doi":"https://doi.org/10.1109/tmc.2023.3310536","title":"Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference","display_name":"Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386320516","doi":"https://doi.org/10.1109/tmc.2023.3310536"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3310536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3310536","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102785891","display_name":"Shangshang Wang","orcid":"https://orcid.org/0009-0005-0996-5380"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangshang Wang","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-0996-5380","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025859650","display_name":"Ziyu Shao","orcid":"https://orcid.org/0000-0002-8774-1391"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Shao","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8774-1391","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068489266","display_name":"John C. S. Lui","orcid":"https://orcid.org/0000-0001-7466-0384"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"John C.S. Lui","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7466-0384","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5344,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91399417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"5695","last_page":"5708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8329024314880371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6299471259117126},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5781502723693848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5433394312858582},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4269944131374359},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3618783950805664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329024314880371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6299471259117126},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5781502723693848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5433394312858582},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4269944131374359},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3618783950805664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2023.3310536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3310536","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2061558770","display_name":null,"funder_award_id":"22ZR1441700","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G4110800897","display_name":null,"funder_award_id":"RGC GRF 14200321","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1516061453","https://openalex.org/W1942493026","https://openalex.org/W1997834106","https://openalex.org/W2034094272","https://openalex.org/W2047756776","https://openalex.org/W2100074460","https://openalex.org/W2137152139","https://openalex.org/W2153835260","https://openalex.org/W2160660844","https://openalex.org/W2168405694","https://openalex.org/W2416799949","https://openalex.org/W2751904527","https://openalex.org/W2896457183","https://openalex.org/W2900120080","https://openalex.org/W2924921501","https://openalex.org/W2931743911","https://openalex.org/W2962739339","https://openalex.org/W2963945346","https://openalex.org/W2965373594","https://openalex.org/W2970602317","https://openalex.org/W2977678469","https://openalex.org/W2978017171","https://openalex.org/W2979826702","https://openalex.org/W2980856918","https://openalex.org/W2981114133","https://openalex.org/W2985986882","https://openalex.org/W2996428491","https://openalex.org/W3007548213","https://openalex.org/W3019166713","https://openalex.org/W3080342081","https://openalex.org/W3083629635","https://openalex.org/W3101177651","https://openalex.org/W3104627021","https://openalex.org/W3128602684","https://openalex.org/W3156349181","https://openalex.org/W3165698711","https://openalex.org/W3170113752","https://openalex.org/W3177445126","https://openalex.org/W3177813494","https://openalex.org/W3183188446","https://openalex.org/W3183712004","https://openalex.org/W3196226093","https://openalex.org/W3203789000","https://openalex.org/W3211127556","https://openalex.org/W4206530644","https://openalex.org/W4283204791","https://openalex.org/W4285395432","https://openalex.org/W4288288631","https://openalex.org/W4288333953","https://openalex.org/W4293704277","https://openalex.org/W4312090913","https://openalex.org/W4320167916","https://openalex.org/W4367000107","https://openalex.org/W4367670059","https://openalex.org/W4385245566","https://openalex.org/W6630683246","https://openalex.org/W6744307745","https://openalex.org/W6755988804","https://openalex.org/W6766673545","https://openalex.org/W6768021236","https://openalex.org/W6768851824","https://openalex.org/W6774195376","https://openalex.org/W6778883912","https://openalex.org/W6790540589","https://openalex.org/W6798182279","https://openalex.org/W6798660638","https://openalex.org/W6810737565","https://openalex.org/W6840756468","https://openalex.org/W6847739782","https://openalex.org/W6850254679","https://openalex.org/W6851442607"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"pursuit":[1],"of":[2,16,102,111,154],"high-quality":[3],"artificial":[4],"intelligence":[5],"generated":[6],"contents":[7],"(AIGC)":[8],"with":[9,128],"fast":[10],"response":[11],"has":[12],"prompted":[13],"the":[14,26,93,139],"evolution":[15],"natural":[17],"language":[18],"processing":[19],"(NLP)":[20],"services,":[21],"notably":[22],"those":[23],"enabled":[24],"at":[25],"edge":[27,33,48],"(":[28],"<italic":[29,62],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[30,63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>":[31,64],",":[32,65],"NLP).":[34],"For":[35],"concreteness,":[36],"we":[37,58,91,117,168],"study":[38],"distributed":[39,121],"inference":[40,122],"for":[41,51,71,78,88,124],"next-word":[42,126],"prediction":[43,67,106,127,135],"which":[44],"is":[45,98],"a":[46,119],"prevalent":[47],"NLP":[49,104],"service":[50],"mobile":[52],"keyboards":[53],"on":[54],"user":[55,76,129,158],"devices.":[56],"Accordingly,":[57],"optimize":[59],"coupled":[60,142],"metrics,":[61],"maximize":[66],"click-through":[68],"rate":[69],"(CTR)":[70],"improved":[72],"quality-of-service":[73],"(QoS),":[74],"minimize":[75],"impatience":[77,130],"enhanced":[79],"quality-of-experience":[80],"(QoE),":[81],"and":[82,114,137,160],"keep":[83],"energy":[84,163],"consumption":[85],"within":[86],"budget":[87],"sustainability.":[89],"Moreover,":[90],"consider":[92],"real-world":[94],"setting":[95],"where":[96],"there":[97],"no":[99],"prior":[100],"knowledge":[101],"heterogeneous":[103],"models'":[105,134],"accuracy.":[107],"Via":[108],"an":[109],"integration":[110],"online":[112,115,125],"learning":[113],"control,":[116],"propose":[118],"novel":[120],"algorithm":[123],"(DONUT)":[131],"to":[132,184],"estimate":[133],"accuracy":[136],"balance":[138],"trade-offs":[140],"among":[141],"metrics.":[143],"Our":[144],"theoretical":[145],"analysis":[146],"reveals":[147],"that":[148],"DONUT":[149],"achieves":[150],"sub-linear":[151],"regret":[152],"(loss":[153],"CTR),":[155],"ensures":[156],"bounded":[157],"impatience,":[159],"maintains":[161],"within-budget":[162],"consumption.":[164],"Through":[165],"numerical":[166],"simulations,":[167],"not":[169],"only":[170],"establish":[171],"DONUT's":[172],"superior":[173],"performance":[174],"over":[175],"other":[176],"baseline":[177],"methods,":[178],"but":[179],"also":[180],"demonstrate":[181],"its":[182],"adaptability":[183],"various":[185],"settings.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}