{"id":"https://openalex.org/W4312121053","doi":"https://doi.org/10.1145/3508352.3549403","title":"Personalized Heterogeneity-Aware Federated Search Towards Better Accuracy and Energy Efficiency","display_name":"Personalized Heterogeneity-Aware Federated Search Towards Better Accuracy and Energy Efficiency","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4312121053","doi":"https://doi.org/10.1145/3508352.3549403"},"language":"en","primary_location":{"id":"doi:10.1145/3508352.3549403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549403","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","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/A5024722161","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-9525-2096"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["Northwestern Polytechnical University"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043971547","display_name":"Qingshuang Sun","orcid":"https://orcid.org/0000-0002-6869-3566"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Qingshuang Sun","raw_affiliation_strings":["Vrije Universiteit Brussel"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024722161"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43148028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8245535492897034},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6670303344726562},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6433132886886597},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5931776165962219},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5554125905036926},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.550591766834259},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5342485308647156},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5190149545669556},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5080890655517578},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49621301889419556},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.48471498489379883},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47934064269065857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40381550788879395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25028449296951294},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.16462105512619019},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13989123702049255},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09680292010307312},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08423474431037903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245535492897034},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6670303344726562},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6433132886886597},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5931776165962219},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5554125905036926},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.550591766834259},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5342485308647156},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5190149545669556},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5080890655517578},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49621301889419556},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.48471498489379883},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47934064269065857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40381550788879395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25028449296951294},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.16462105512619019},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13989123702049255},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09680292010307312},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08423474431037903},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508352.3549403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549403","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2913668833","https://openalex.org/W2945146780","https://openalex.org/W2998045710","https://openalex.org/W4236965008","https://openalex.org/W4393403983"],"related_works":["https://openalex.org/W2566006169","https://openalex.org/W2770234245","https://openalex.org/W2987774938","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W4378874356","https://openalex.org/W2369811061","https://openalex.org/W3089997100","https://openalex.org/W1990395098","https://openalex.org/W2805060255"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL),":[2],"a":[3,89,165],"new":[4],"distributed":[5],"technology,":[6],"allows":[7],"us":[8],"to":[9,26,74,92,104,114,134,186],"train":[10],"the":[11,15,27,48,76,106,116,145,154],"global":[12],"model":[13,66,85],"on":[14,96],"edge":[16,49,152],"and":[17,42,56,71,121,180,188],"embedded":[18],"devices":[19,120],"without":[20],"local":[21],"data":[22,55,73],"sharing.":[23],"However,":[24],"due":[25],"wide":[28],"distribution":[29],"of":[30,33,44,118,148],"different":[31],"types":[32],"devices,":[34,153],"FL":[35,45,65,108,127,149],"faces":[36],"severe":[37],"heterogeneity":[38],"issues.":[39],"The":[40],"accuracy":[41,172],"efficiency":[43,87],"deployment":[46,150],"at":[47,151],"are":[50],"severely":[51],"impacted":[52],"by":[53,79,83,159,184],"heterogeneous":[54,57,69,72],"systems.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"perform":[63],"joint":[64],"personalization":[67],"for":[68],"systems":[70],"address":[75],"challenges":[77],"posed":[78],"heterogeneities.":[80],"We":[81],"begin":[82],"using":[84],"inference":[86,179],"as":[88],"starting":[90],"point":[91],"personalize":[93],"network":[94,139,156],"scale":[95],"each":[97],"node.":[98],"Furthermore,":[99],"it":[100],"can":[101,112,169],"be":[102],"used":[103,133],"guide":[105],"efficient":[107],"training":[109,181],"process,":[110],"which":[111],"help":[113],"ease":[115],"problem":[117],"straggler":[119],"improve":[122],"FL's":[123],"energy":[124,182],"efficiency.":[125],"During":[126],"training,":[128],"federated":[129,161],"search":[130,162,167],"is":[131],"then":[132],"acquire":[135],"highly":[136],"accurate":[137],"personalized":[138,155],"structures.":[140],"By":[141],"taking":[142],"into":[143],"account":[144],"unique":[146],"characteristics":[147],"structures":[157],"obtained":[158],"our":[160],"framework":[163],"with":[164,173],"lightweight":[166],"controller":[168],"achieve":[170],"competitive":[171],"state-of-the-art":[174],"(SOTA)":[175],"methods,":[176],"while":[177],"reducing":[178],"consumption":[183],"up":[185],"3.57\u00d7":[187],"1.82\u00d7,":[189],"respectively.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}