{"id":"https://openalex.org/W4406857029","doi":"https://doi.org/10.1109/twc.2024.3522956","title":"Integrating Data Collection, Communication, and Computation for Importance-Aware Online Edge Learning Tasks","display_name":"Integrating Data Collection, Communication, and Computation for Importance-Aware Online Edge Learning Tasks","publication_year":2025,"publication_date":"2025-01-27","ids":{"openalex":"https://openalex.org/W4406857029","doi":"https://doi.org/10.1109/twc.2024.3522956"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2024.3522956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3522956","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications","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":null,"display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-0445-3440"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","Beijing Key Laboratory of Work Safety Intelligent Monitoring, BUPT, China"],"raw_orcid":"https://orcid.org/0000-0002-0445-3440","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, BUPT, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081117495","display_name":"Yinglei Teng","orcid":"https://orcid.org/0000-0002-7170-4764"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglei Teng","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","Beijing Key Laboratory of Work Safety Intelligent Monitoring, BUPT, China"],"raw_orcid":"https://orcid.org/0000-0002-7170-4764","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, BUPT, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007131492","display_name":"Kaibin Huang","orcid":"https://orcid.org/0000-0001-8773-4629"},"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":"Kaibin Huang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8773-4629","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00902567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":"2606","last_page":"2619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.8981000185012817,"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/T11122","display_name":"Online Learning and Analytics","score":0.8981000185012817,"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":0.7756999731063843,"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/T11370","display_name":"Mobile Learning in Education","score":0.711899995803833,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8107063174247742},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.532608151435852},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4867827594280243},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44953447580337524},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38190731406211853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37385863065719604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35140931606292725},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3500784635543823},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3427090346813202},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12346917390823364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107063174247742},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.532608151435852},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4867827594280243},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44953447580337524},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38190731406211853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37385863065719604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35140931606292725},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3500784635543823},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3427090346813202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12346917390823364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2024.3522956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2024.3522956","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1134553906","display_name":null,"funder_award_id":"62171062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3322336741","display_name":null,"funder_award_id":"U24A20234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3917665456","display_name":null,"funder_award_id":"2021YFB3300100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2972234767","https://openalex.org/W2987849745","https://openalex.org/W2997599645","https://openalex.org/W3004277316","https://openalex.org/W3027223193","https://openalex.org/W3033843856","https://openalex.org/W3048492641","https://openalex.org/W3048584318","https://openalex.org/W3059999910","https://openalex.org/W3088171318","https://openalex.org/W3096894748","https://openalex.org/W3106861597","https://openalex.org/W3126228234","https://openalex.org/W3133786504","https://openalex.org/W3134843574","https://openalex.org/W3137257456","https://openalex.org/W3142849873","https://openalex.org/W3168768468","https://openalex.org/W3187527665","https://openalex.org/W3192820662","https://openalex.org/W3195128949","https://openalex.org/W3212941463","https://openalex.org/W4285298837","https://openalex.org/W4301852635","https://openalex.org/W4312913871","https://openalex.org/W4361757366","https://openalex.org/W4387869535","https://openalex.org/W4390422261","https://openalex.org/W6679390333","https://openalex.org/W6691861496","https://openalex.org/W6703271639","https://openalex.org/W6741002519","https://openalex.org/W6755326576","https://openalex.org/W6768945589","https://openalex.org/W6769109911","https://openalex.org/W6966649390"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2186048469","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3029267192","https://openalex.org/W1967509846","https://openalex.org/W4308662946"],"abstract_inverted_index":{"With":[0],"the":[1,17,33,41,74,79,97,113,122,141,160,169,179,187,196],"prevalence":[2],"of":[3,19,35,44,124,147],"real-time":[4],"intelligence":[5,27],"applications,":[6],"online":[7,105,188],"edge":[8,30],"learning":[9,106,111,156,189],"(OEL)":[10],"has":[11],"gained":[12],"increasing":[13],"attentions":[14],"due":[15],"to":[16,24,40,54,72],"ability":[18],"rapidly":[20],"accessing":[21],"environmental":[22],"data":[23,46,64,81,98,126,131,181],"improve":[25,186],"artificial":[26],"models":[28],"by":[29,77],"computing.":[31],"However,":[32],"performance":[34],"OEL":[36],"is":[37,92],"intricately":[38],"tied":[39],"dynamic":[42,84],"nature":[43],"incoming":[45],"in":[47,100,171,195],"ever-changing":[48],"environments,":[49],"which":[50],"does":[51],"not":[52],"conform":[53],"a":[55,63,152,172],"stationary":[56],"distribution.":[57],"In":[58],"this":[59],"work,":[60],"we":[61,115,150],"develop":[62],"importance-aware":[65],"collection,":[66],"communication,":[67],"and":[68,120,134,144,166],"computation":[69],"integration":[70,182],"framework":[71,183],"boost":[73],"training":[75,117],"efficiency":[76,190],"leveraging":[78],"varying":[80],"usefulness":[82],"under":[83],"network":[85],"resources.":[86],"A":[87],"model":[88,110],"convergence":[89],"metric":[90],"(MCM)":[91],"firstly":[93],"derived":[94],"that":[95,178],"quantifies":[96],"importance":[99],"mini-batch":[101],"gradient":[102],"descent":[103],"(MGD)-based":[104],"tasks.":[107],"To":[108,138],"expedite":[109],"at":[112],"edge,":[114],"optimize":[116,168],"batch":[118],"configuration":[119],"fine-tune":[121],"acquisition":[123],"important":[125],"through":[127],"coordinated":[128],"scheduling,":[129],"encompassing":[130],"sampling,":[132],"transmission":[133],"computational":[135],"resource":[136],"allocation.":[137],"cope":[139],"with":[140],"time":[142],"discrepancy":[143],"complex":[145],"coupling":[146],"decision":[148],"variables,":[149],"design":[151],"two-timescale":[153],"hierarchical":[154],"reinforcement":[155],"(TTHRL)":[157],"algorithm":[158],"decomposing":[159],"original":[161],"problem":[162],"into":[163],"two-layer":[164],"subproblems":[165,170],"separately":[167],"mixed":[173],"timescale":[174],"pattern.":[175],"Experiments":[176],"show":[177],"proposed":[180],"can":[184],"effectively":[185],"while":[191],"stabilizing":[192],"caching":[193],"queues":[194],"system.":[197]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}