{"id":"https://openalex.org/W4413181404","doi":"https://doi.org/10.1109/gcwkshp64532.2024.11101097","title":"End-to-End Latency Reduction for Mobile Edge Generation (MEG)","display_name":"End-to-End Latency Reduction for Mobile Edge Generation (MEG)","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4413181404","doi":"https://doi.org/10.1109/gcwkshp64532.2024.11101097"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshp64532.2024.11101097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshp64532.2024.11101097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-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/A5112472880","display_name":"Xiaoxia Xu","orcid":"https://orcid.org/0009-0005-3699-235X"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xiaoxia Xu","raw_affiliation_strings":["Queen Mary University of London,School of Electronic Engineering and Computer Science,London,U.K"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,School of Electronic Engineering and Computer Science,London,U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076863392","display_name":"Yuanwei Liu","orcid":"https://orcid.org/0000-0002-6389-8941"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanwei Liu","raw_affiliation_strings":["The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Electrical and Electronic Engineering,Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056349361","display_name":"Xidong Mu","orcid":"https://orcid.org/0000-0001-8351-360X"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xidong Mu","raw_affiliation_strings":["Queen’s University Belfast,Centre for Wireless Innovation (CWI),Belfast,U.K.,BT3 9DT"],"affiliations":[{"raw_affiliation_string":"Queen’s University Belfast,Centre for Wireless Innovation (CWI),Belfast,U.K.,BT3 9DT","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002265731","display_name":"Arumugam Nallanathan","orcid":"https://orcid.org/0000-0001-8337-5884"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arumugam Nallanathan","raw_affiliation_strings":["Queen Mary University of London,School of Electronic Engineering and Computer Science,London,U.K"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,School of Electronic Engineering and Computer Science,London,U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112472880"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32007175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6509731411933899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176592707633972},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5208890438079834},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46760454773902893},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4274996519088745},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37646329402923584},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2944340407848358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08146235346794128}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6509731411933899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176592707633972},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5208890438079834},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46760454773902893},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4274996519088745},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37646329402923584},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2944340407848358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08146235346794128},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshp64532.2024.11101097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshp64532.2024.11101097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W3043914740","https://openalex.org/W3121370741","https://openalex.org/W3214462705","https://openalex.org/W4287029626","https://openalex.org/W4383472654","https://openalex.org/W4385801014","https://openalex.org/W4390828922","https://openalex.org/W4396913712","https://openalex.org/W4400188352","https://openalex.org/W4404132629","https://openalex.org/W4405718008","https://openalex.org/W6767064347","https://openalex.org/W6783713337","https://openalex.org/W6840155194","https://openalex.org/W6854511533","https://openalex.org/W6867026191"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W3196421258","https://openalex.org/W4387301579","https://openalex.org/W2763956190","https://openalex.org/W3008587939","https://openalex.org/W4405522771","https://openalex.org/W4400488565"],"abstract_inverted_index":{"A":[0,71],"novel":[1],"low-latency":[2],"mobile":[3,15],"edge":[4,27],"generation":[5,88,94,164,179],"(MEG)":[6],"framework":[7,51,151],"is":[8,81,105,129],"proposed":[9,50,150],"to":[10,39,131,162],"generate":[11],"high-resolution":[12],"images":[13],"on":[14],"devices.":[16],"Exploiting":[17],"a":[18,101,125,171],"compressed":[19],"latent":[20],"diffusion":[21],"model":[22],"(LDM)":[23],"distributed":[24,99],"across":[25],"the":[26,31,85,92,98],"server":[28],"(ES)":[29],"and":[30,57,67,75,118,136,177],"user":[32],"equipment":[33],"(UE),":[34],"only":[35],"low-dimension":[36],"features":[37],"need":[38],"be":[40],"transmitted":[41],"for":[42],"creating":[43],"artificial":[44],"intelligence":[45],"generative":[46],"content":[47],"(AIGC).":[48],"The":[49,149,167],"adaptively":[52],"compresses":[53],"feature":[54,60,76,116,137],"denoising":[55,73,117,134],"steps":[56,135],"merges":[58],"similar":[59],"neurons,":[61],"thereby":[62],"significantly":[63],"reducing":[64,157],"both":[65],"computation":[66],"transmission":[68],"overheads,":[69],"respectively.":[70],"joint":[72],"step":[74],"compression":[77,138],"ratio":[78],"optimization":[79],"problem":[80],"formulated,":[82],"which":[83,111],"minimizes":[84],"end-to-":[86],"end":[87],"latency":[89,160],"while":[90,156],"maximizing":[91],"image":[93,154,175],"quality.":[95],"To":[96],"tailor":[97],"sub-models,":[100],"backbone":[102],"LDM":[103],"architecture":[104],"first":[106],"trained":[107],"by":[108],"offline":[109],"distillation,":[110],"supports":[112],"various":[113],"options":[114],"of":[115],"compressions":[119],"over":[120,158],"noisy":[121],"wireless":[122],"channels.":[123],"Then,":[124],"policy":[126],"learning":[127],"algorithm":[128,169],"developed":[130,168],"dynamically":[132],"predict":[133],"ratios":[139],"in":[140],"online":[141],"channel":[142],"environment.":[143],"Numerical":[144],"results":[145],"demonstrate":[146],"that:":[147],"1)":[148],"effectively":[152],"mitigates":[153],"distortions,":[155],"40%":[159],"compared":[161],"conventional":[163],"schemes.":[165],"2)":[166],"strikes":[170],"flexible":[172],"trade-off":[173],"between":[174],"quality":[176],"end-to-end":[178],"latency.":[180]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}