{"id":"https://openalex.org/W2945969196","doi":"https://doi.org/10.1145/3316781.3317792","title":"Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing","display_name":"Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2945969196","doi":"https://doi.org/10.1145/3316781.3317792","mag":"2945969196"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317792","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317792","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079010628","display_name":"Jinhang Choi","orcid":"https://orcid.org/0000-0003-4114-6260"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinhang Choi","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056242506","display_name":"Zeinab Hakimi","orcid":"https://orcid.org/0000-0002-6421-5866"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeinab Hakimi","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064989868","display_name":"Philip Wootaek Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip W. Shin","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014048994","display_name":"Jack Sampson","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Sampson","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101919131","display_name":"Vijaykrishnan Narayanan","orcid":"https://orcid.org/0000-0001-6266-6068"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"funder","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijaykrishnan Narayanan","raw_affiliation_strings":["Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.658,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":13,"citation_normalized_percentile":{"value":0.746888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9956,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9952,"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/feature","display_name":"Feature (linguistics)","score":0.455952},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep Neural Networks","score":0.41822326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395931},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7821561},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6246874},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6189127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5298583},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46895188},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45744133},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.455952},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41822326},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33178163},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317792","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3316781.3317792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3316781.3317792","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.72,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"CCF 1317560"}],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2097117768","https://openalex.org/W2115579991","https://openalex.org/W2117539524","https://openalex.org/W2149933564","https://openalex.org/W2295107390","https://openalex.org/W2402098947","https://openalex.org/W2471821491","https://openalex.org/W2557283755","https://openalex.org/W2618530766","https://openalex.org/W2626537156","https://openalex.org/W2739489527","https://openalex.org/W2794284781","https://openalex.org/W2799162093","https://openalex.org/W2800071693","https://openalex.org/W2808954838","https://openalex.org/W2809371234","https://openalex.org/W2953384591","https://openalex.org/W2962677625","https://openalex.org/W2962835968","https://openalex.org/W2962883027","https://openalex.org/W2964342398"],"related_works":["https://openalex.org/W4377865163","https://openalex.org/W4312417841","https://openalex.org/W4226493464","https://openalex.org/W3193857078","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W3042419602","https://openalex.org/W3029198973","https://openalex.org/W2966649771","https://openalex.org/W2951211570"],"abstract_inverted_index":{"As":[0],"the":[1,28,104],"computing":[2],"power":[3],"of":[4,96],"end-point":[5],"devices":[6],"grows,":[7],"there":[8],"has":[9],"been":[10],"interest":[11],"in":[12],"developing":[13],"distributed":[14],"deep":[15,46],"neural":[16,67],"networks":[17,68],"specifically":[18],"for":[19,56],"hierarchical":[20],"inference":[21],"deployments":[22],"on":[23,32],"multi-sensor":[24],"systems.":[25],"However,":[26],"as":[27],"existing":[29],"approaches":[30],"rely":[31],"latent":[33],"parameters":[34],"trained":[35],"by":[36,93],"machine":[37],"learning,":[38],"it":[39],"is":[40],"difficult":[41],"to":[42,103],"preemptively":[43],"select":[44],"front-end":[45],"features":[47],"across":[48],"sensors,":[49],"or":[50],"understand":[51],"individual":[52],"feature's":[53],"relative":[54],"importance":[55],"systematic":[57],"global":[58],"inference.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"multi-view":[65],"convolutional":[66],"exploiting":[69],"likelihood":[70],"estimation.":[71],"Proof-of-concept":[72],"experiments":[73],"show":[74],"that":[75],"our":[76],"likelihood-based":[77],"context":[78],"selection":[79],"and":[80,90],"weighted":[81],"averaging":[82],"collaboration":[83],"scheme":[84],"can":[85],"decrease":[86],"an":[87],"endpoint's":[88],"communication":[89],"energy":[91],"costs":[92],"a":[94],"factor":[95],"3\u00d7,":[97],"while":[98],"achieving":[99],"high":[100],"accuracy":[101],"comparable":[102],"original":[105],"aggregation":[106],"approaches.":[107]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2945969196","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2025-02-20T13:53:10.243228","created_date":"2019-05-29"}