{"id":"https://openalex.org/W3035808473","doi":"https://doi.org/10.23919/date48585.2020.9116528","title":"Communication-efficient View-Pooling for Distributed Multi-View Neural Networks","display_name":"Communication-efficient View-Pooling for Distributed Multi-View Neural Networks","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3035808473","doi":"https://doi.org/10.23919/date48585.2020.9116528","mag":"3035808473"},"language":"en","primary_location":{"id":"doi:10.23919/date48585.2020.9116528","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5080890406","display_name":"Manik Singhal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manik Singhal","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102009759","display_name":"Vijay Raghunathan","orcid":"https://orcid.org/0000-0003-4713-5386"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijay Raghunathan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080890406"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65213081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983000159263611,"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/pooling","display_name":"Pooling","score":0.9348130226135254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813644528388977},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.634566068649292},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5763135552406311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5546004772186279},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.46478721499443054},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4633368253707886},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45719873905181885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4302051067352295},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4294723868370056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41838961839675903},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41000378131866455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3673633933067322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25790542364120483},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.08912128210067749}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9348130226135254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813644528388977},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.634566068649292},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5763135552406311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5546004772186279},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.46478721499443054},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4633368253707886},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45719873905181885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4302051067352295},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4294723868370056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41838961839675903},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41000378131866455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3673633933067322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25790542364120483},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.08912128210067749},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date48585.2020.9116528","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date48585.2020.9116528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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":25,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1970430984","https://openalex.org/W1998305460","https://openalex.org/W2163605009","https://openalex.org/W2267244539","https://openalex.org/W2419597278","https://openalex.org/W2555618208","https://openalex.org/W2612445135","https://openalex.org/W2799162093","https://openalex.org/W2899771611","https://openalex.org/W2945969196","https://openalex.org/W2955798129","https://openalex.org/W2962677625","https://openalex.org/W2962835968","https://openalex.org/W2962883027","https://openalex.org/W2964223234","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6640300118","https://openalex.org/W6684191040","https://openalex.org/W6717177883","https://openalex.org/W6737664043","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2334336442","https://openalex.org/W2756241593","https://openalex.org/W2970686063","https://openalex.org/W4281678247","https://openalex.org/W3162668736","https://openalex.org/W4379615676","https://openalex.org/W2786068615","https://openalex.org/W2949866693","https://openalex.org/W4213343903","https://openalex.org/W4380136464"],"abstract_inverted_index":{"Multi-view":[0,32],"object":[1,9,33,102],"detection":[2,34,103],"or":[3,48],"the":[4,53,67,76,97,132,137,141,159,183,190,197],"problem":[5,16],"of":[6,64,99,140,205],"detecting":[7],"an":[8,14,165],"using":[10,164,201],"multiple":[11],"viewpoints,":[12],"is":[13],"important":[15],"in":[17,220,226,232],"computer":[18],"vision":[19],"with":[20,229],"varied":[21],"applications":[22],"such":[23],"as":[24],"distributed":[25,100],"smart":[26],"cameras":[27],"and":[28,79,104,119,154,157,176,182,195,211,223],"collaborative":[29],"drone":[30],"swarms.":[31],"algorithms":[35,59],"based":[36],"on":[37,62],"deep":[38],"neural":[39],"networks":[40,63],"(DNNs)":[41],"achieve":[42,215],"high":[43],"accuracy":[44],"by":[45,71],"view":[46,72,89,126,147],"pooling,":[47,148],"aggregating":[49],"features":[50,123,160],"corresponding":[51],"to":[52,95,107,130,188],"different":[54],"views.":[55],"However,":[56],"when":[57],"these":[58],"are":[60,128,179,185],"realized":[61],"edge":[65],"devices,":[66],"communication":[68],"cost":[69],"incurred":[70],"pooling":[73,90,199],"often":[74],"dominates":[75],"overall":[77],"latency":[78],"energy":[80],"consumption.In":[81],"this":[82],"paper,":[83],"we":[84,112,144],"propose":[85,113,145],"techniques":[86],"for":[87,172],"communication-efficient":[88],"that":[91,127,213],"can":[92],"be":[93],"used":[94,187],"improve":[96],"efficiency":[98],"multi-view":[101,109],"apply":[105],"them":[106,171],"state-of-the-art":[108],"DNNs.":[110],"First,":[111],"significance-aware":[114],"feature":[115],"selection,":[116],"which":[117,149],"identifies":[118],"communicates":[120],"only":[121],"those":[122],"from":[124,161],"each":[125],"likely":[129],"impact":[131],"pooled":[133,180],"result":[134],"(and":[135],"hence,":[136],"final":[138,191],"output":[139],"DNN).":[142],"Second,":[143],"multi-resolution":[146],"divides":[150],"views":[151,163,178],"into":[152],"dominant":[153,175],"non-dominant":[155,162,177],"views,":[156],"down-scales":[158],"additional":[166],"network":[167],"layer":[168],"before":[169],"communicating":[170],"pooling.":[173],"The":[174],"separately":[181],"results":[184],"jointly":[186],"derive":[189],"classification.":[192],"We":[193],"implement":[194],"evaluate":[196],"proposed":[198],"schemes":[200],"a":[202],"model":[203],"test-bed":[204],"twelve":[206],"Raspberry":[207],"Pi":[208],"3b+":[209],"devices":[210],"show":[212],"they":[214],"9X":[216],"-":[217],"36X":[218],"reduction":[219,225],"data":[221],"communicated":[222],"1.8X":[224],"inference":[227],"latency,":[228],"no":[230],"degradation":[231],"accuracy.":[233]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}