{"id":"https://openalex.org/W4405103415","doi":"https://doi.org/10.1109/milcom61039.2024.10773876","title":"Collaborative Inference in Resource-Constrained Edge Networks: Challenges and Opportunities","display_name":"Collaborative Inference in Resource-Constrained Edge Networks: Challenges and Opportunities","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4405103415","doi":"https://doi.org/10.1109/milcom61039.2024.10773876"},"language":"en","primary_location":{"id":"doi:10.1109/milcom61039.2024.10773876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","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/A5114652139","display_name":"Nathan Ng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nathan Ng","raw_affiliation_strings":["University of Massachusetts"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049340434","display_name":"Abel Souza","orcid":"https://orcid.org/0000-0001-6952-1195"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abel Souza","raw_affiliation_strings":["University of California,Santa Cruz"],"affiliations":[{"raw_affiliation_string":"University of California,Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083980887","display_name":"Suhas Diggavi","orcid":"https://orcid.org/0000-0001-7313-9861"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suhas Diggavi","raw_affiliation_strings":["University of California,Los Angeles"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047412092","display_name":"Niranjan Suri","orcid":"https://orcid.org/0000-0003-2982-8218"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjan Suri","raw_affiliation_strings":["Army Research Lab"],"affiliations":[{"raw_affiliation_string":"Army Research Lab","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087114395","display_name":"Tarek Abdelzaher","orcid":"https://orcid.org/0000-0003-3883-7220"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek Abdelzaher","raw_affiliation_strings":["University of Illinois"],"affiliations":[{"raw_affiliation_string":"University of Illinois","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036683370","display_name":"Don Towsley","orcid":"https://orcid.org/0000-0002-7808-7375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Don Towsley","raw_affiliation_strings":["University of Massachusetts"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032939724","display_name":"Prashant Shenoy","orcid":"https://orcid.org/0000-0002-5435-1901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prashant Shenoy","raw_affiliation_strings":["University of Massachusetts"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5114652139"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.443,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90105881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944999814033508,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9872999787330627,"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"}},{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7174043655395508},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6533539295196533},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5447628498077393},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4612419009208679},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38274621963500977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26279622316360474},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23471277952194214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174043655395508},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6533539295196533},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5447628498077393},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4612419009208679},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38274621963500977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26279622316360474},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23471277952194214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/milcom61039.2024.10773876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom61039.2024.10773876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2083065484","https://openalex.org/W2914422142","https://openalex.org/W2920031528","https://openalex.org/W2963728985","https://openalex.org/W3026206397","https://openalex.org/W3049640275","https://openalex.org/W3156189202","https://openalex.org/W3172857592","https://openalex.org/W4236099117","https://openalex.org/W4285261368","https://openalex.org/W4289305285","https://openalex.org/W4293195477","https://openalex.org/W4309263372","https://openalex.org/W4312641201","https://openalex.org/W4360954268","https://openalex.org/W4367046915","https://openalex.org/W4386580504"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Many":[0],"IoT":[1],"applications":[2],"have":[3,43,51],"increasingly":[4],"adopted":[5],"machine":[6],"learning":[7],"(ML)":[8],"techniques,":[9],"such":[10,26,85,146],"as":[11,27,86,147],"classification":[12],"and":[13,18,65,89,118,152],"detection,":[14],"to":[15,97,128],"enhance":[16],"automation":[17],"decision-making":[19],"processes.":[20],"With":[21],"advances":[22,50],"in":[23,46,75,81,111],"hardware":[24],"accelerators":[25],"Nvidia\u2019s":[28],"Jetson":[29],"embedded":[30],"GPUs,":[31],"the":[32,58,82,139],"computational":[33],"capabilities":[34],"of":[35,141],"end":[36,87],"devices,":[37],"particularly":[38],"for":[39,54,103,160],"ML":[40],"inference":[41,95,106,143],"workloads,":[42],"significantly":[44],"improved":[45],"recent":[47],"years.":[48],"These":[49],"opened":[52],"opportunities":[53],"distributing":[55],"computation":[56],"across":[57],"edge":[59,83,90,113],"network,":[60,84],"enabling":[61],"optimal":[62],"resource":[63],"utilization":[64],"reducing":[66],"request":[67,96],"latency.":[68],"Previous":[69],"research":[70],"has":[71],"demonstrated":[72],"promising":[73],"results":[74,124],"collaborative":[76,105],"inference,":[77],"where":[78],"processing":[79],"units":[80],"devices":[88],"servers,":[91],"collaboratively":[92],"execute":[93],"an":[94],"minimize":[98],"latency.This":[99],"paper":[100],"explores":[101],"approaches":[102],"implementing":[104],"on":[107],"a":[108],"single":[109],"model":[110],"resource-constrained":[112],"networks,":[114],"including":[115],"on-device,":[116],"device-edge,":[117],"edge-edge":[119],"collaboration.":[120],"We":[121,132],"present":[122],"preliminary":[123],"from":[125],"proof-of-concept":[126],"experiments":[127],"support":[129],"each":[130],"case.":[131],"discuss":[133],"dynamic":[134],"factors":[135],"that":[136],"can":[137],"impact":[138],"performance":[140],"these":[142],"execution":[144],"strategies,":[145],"network":[148],"variability,":[149],"thermal":[150],"constraints,":[151],"workload":[153],"fluctuations.":[154],"Finally,":[155],"we":[156],"outline":[157],"potential":[158],"directions":[159],"future":[161],"research.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
