{"id":"https://openalex.org/W7139056381","doi":"https://doi.org/10.48550/arxiv.2603.15783","title":"Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications","display_name":"Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7139056381","doi":"https://doi.org/10.48550/arxiv.2603.15783"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15783","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15783","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069262360","display_name":"Saba Asaad","orcid":"https://orcid.org/0000-0001-7423-1336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asaad, Saba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130089056","display_name":"Hina Tabassum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tabassum, Hina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129819769","display_name":"Ping Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.29019999504089355,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.29019999504089355,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.1956000030040741,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.09759999811649323,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/telecommunications-link","display_name":"Telecommunications link","score":0.7831000089645386},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6632000207901001},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5760999917984009},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4832000136375427},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4650000035762787},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4401000142097473},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41780000925064087},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4122999906539917}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7831000089645386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.703499972820282},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6632000207901001},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4560000002384186},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4122999906539917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40790000557899475},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32659998536109924},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3264000117778778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3125},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15783","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15783","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,65,90,153],"novel":[4,91],"multi-objective":[5,154],"integrated":[6],"sensing":[7,16,32,139,166,192,208],"and":[8,33,45,59,165],"communications":[9,44],"(ISAC)":[10],"framework":[11,25,190],"to":[12,30,158],"enable":[13],"collaborative":[14,188,207],"wireless":[15],"in":[17],"conjunction":[18],"with":[19],"over-the-air":[20],"federated-edge":[21],"learning":[22,34],"(OTA-FEEL).":[23],"The":[24,170],"enables":[26],"multi-task":[27],"OTA":[28],"aggregation":[29],"handle":[31],"simultaneously,":[35],"while":[36],"benefiting":[37],"from":[38,49,78],"dual-purpose":[39,186],"uplink":[40,79],"signals":[41],"for":[42,69],"both":[43],"target":[46],"sensing.":[47],"Starting":[48],"characterizing":[50],"the":[51,70,76,99,104,109,121,138,146,160,177,184,197,200,213,219,223,226],"local":[52,71,131,217],"sufficient":[53,72,132],"statistics":[54],"at":[55],"each":[56,126],"edge":[57],"device":[58,127],"establishing":[60],"its":[61],"stationary,":[62],"we":[63,87,97],"develop":[64],"tractable":[66],"analytical":[67],"expression":[68],"statistics.":[73],"To":[74],"suppress":[75],"interference":[77],"transmissions":[80],"of":[81,103,112,117,125,199,216,225],"other":[82],"devices":[83,119],"through":[84],"matched":[85],"filtering,":[86],"then":[88,143,151,174],"propose":[89],"orthogonal":[92],"pulse":[93],"shaping":[94],"method.":[95,179],"Then,":[96],"derive":[98],"optimal":[100],"unbiased":[101],"estimate":[102],"target's":[105],"coordinates":[106],"by":[107,212],"casting":[108],"centralized":[110],"problem":[111,157,172],"joint":[113],"likelihood":[114,123],"function":[115],"maximization":[116,124],"all":[118],"as":[120],"distributed":[122],"(which":[128],"requires":[129],"only":[130],"statistics).":[133],"A":[134],"lower":[135],"bound":[136,148,168],"on":[137],"error":[140,163,167,215],"variance":[141],"is":[142,173],"characterized":[144],"using":[145,176],"Cramer-Rao":[147],"(CRB).":[149],"We":[150],"formulate":[152],"optimization":[155],"(MOOP)":[156],"minimize":[159],"mean":[161],"square":[162],"(MSE)":[164],"simultaneously.":[169],"considered":[171,227],"solved":[175],"epsilon-constrained":[178],"Numerical":[180],"results":[181],"demonstrate":[182],"that":[183],"proposed":[185,220],"OTA-FEEL-enabled":[187],"ISAC":[189],"enhances":[191],"accuracy":[193],"without":[194],"adversely":[195],"affecting":[196],"performance":[198],"primary":[201],"OTA-FEEL":[202],"task.":[203],"While":[204],"conventional":[205],"single-shot":[206],"schemes":[209],"are":[210],"limited":[211],"average":[214],"estimators,":[218],"algorithm":[221],"achieves":[222],"CRB":[224],"problem.":[228]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-20T00:00:00"}