{"id":"https://openalex.org/W4404809465","doi":"https://doi.org/10.1109/tsp.2024.3507715","title":"Causal Influence in Federated Edge Inference","display_name":"Causal Influence in Federated Edge Inference","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404809465","doi":"https://doi.org/10.1109/tsp.2024.3507715"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3507715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3507715","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/242475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024484921","display_name":"Mert Kayaalp","orcid":"https://orcid.org/0000-0002-0082-1058"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Mert Kayaalp","raw_affiliation_strings":["&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-0082-1058","affiliations":[{"raw_affiliation_string":"&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091021192","display_name":"Yunus \u0130nan","orcid":"https://orcid.org/0000-0001-9725-2455"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yunus \u0130nan","raw_affiliation_strings":["&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-9725-2455","affiliations":[{"raw_affiliation_string":"&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105267090","display_name":"Visa Koivunen","orcid":"https://orcid.org/0000-0003-1454-5928"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Visa Koivunen","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"raw_orcid":"https://orcid.org/0000-0003-1454-5928","affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091103447","display_name":"Ali H. Sayed","orcid":"https://orcid.org/0000-0002-5125-5519"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ali H. Sayed","raw_affiliation_strings":["&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-5125-5519","affiliations":[{"raw_affiliation_string":"&#x00C9;cole Polytechnique F&#x00E9;d&#x00E9;rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024484921"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.682,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85894675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"5604","last_page":"5615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329138278961182},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6215518712997437},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4636927843093872},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4146759510040283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36533573269844055},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3398042917251587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32678693532943726},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2908892035484314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22709396481513977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329138278961182},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6215518712997437},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4636927843093872},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4146759510040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36533573269844055},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3398042917251587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32678693532943726},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2908892035484314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22709396481513977}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2024.3507715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3507715","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/242475","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/242475","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:20.500.14299/242475","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/242475","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1525038591","https://openalex.org/W2008651162","https://openalex.org/W2017903640","https://openalex.org/W2051359738","https://openalex.org/W2102931639","https://openalex.org/W2143891888","https://openalex.org/W2153985795","https://openalex.org/W2169826194","https://openalex.org/W2487898712","https://openalex.org/W2799108620","https://openalex.org/W2885305518","https://openalex.org/W2942840404","https://openalex.org/W2963118811","https://openalex.org/W2963881501","https://openalex.org/W2967069910","https://openalex.org/W2995022099","https://openalex.org/W3007456408","https://openalex.org/W3021654819","https://openalex.org/W3101755493","https://openalex.org/W3111179237","https://openalex.org/W3135588948","https://openalex.org/W3179235957","https://openalex.org/W3211967357","https://openalex.org/W4205987271","https://openalex.org/W4211079158","https://openalex.org/W4302366875","https://openalex.org/W4327640397","https://openalex.org/W4360770945","https://openalex.org/W4384918621","https://openalex.org/W4385694511","https://openalex.org/W4387869693","https://openalex.org/W4388430806","https://openalex.org/W4401692300","https://openalex.org/W6728757088","https://openalex.org/W6854643694"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2889343356","https://openalex.org/W2773180822","https://openalex.org/W3215064753","https://openalex.org/W3112780530","https://openalex.org/W2263423262","https://openalex.org/W2907056340","https://openalex.org/W3121647782","https://openalex.org/W3025755441","https://openalex.org/W3150893739"],"abstract_inverted_index":{"In":[0,31],"this":[1],"paper,":[2],"we":[3,62],"consider":[4],"a":[5,50,64,137],"setting":[6],"where":[7],"heterogeneous":[8],"agents":[9,37,75],"with":[10,39,47,133],"connectivity":[11],"are":[12,21,94],"performing":[13],"inference":[14],"using":[15],"unlabeled":[16],"streaming":[17],"data.":[18],"Observed":[19],"data":[20],"only":[22],"partially":[23],"informative":[24],"about":[25],"the":[26,35,59,71,80,101,108],"target":[27],"variable":[28],"of":[29,74,104,140],"interest.":[30],"order":[32,68],"to":[33,69,99],"overcome":[34],"uncertainty,":[36],"cooperate":[38],"each":[40,56,105],"other":[41],"by":[42],"exchanging":[43],"their":[44],"local":[45],"inferences":[46],"and":[48,90,117,136],"through":[49],"fusion":[51,91],"center.":[52],"To":[53],"evaluate":[54],"how":[55],"agent":[57,87,106],"influences":[58],"overall":[60],"decision,":[61,110],"adopt":[63],"causal":[65,102],"framework":[66],"in":[67],"distinguish":[70],"actual":[72],"influence":[73],"from":[76],"mere":[77],"correlations":[78],"within":[79],"decision-making":[81],"process.":[82],"Various":[83],"scenarios":[84],"reflecting":[85],"different":[86],"participation":[88],"patterns":[89],"center":[92],"policies":[93],"investigated.":[95],"We":[96,128],"derive":[97],"expressions":[98],"quantify":[100],"impact":[103],"on":[107],"joint":[109],"which":[111],"could":[112],"be":[113],"beneficial":[114],"for":[115],"anticipating":[116],"addressing":[118],"atypical":[119],"scenarios,":[120],"such":[121],"as":[122],"adversarial":[123],"attacks":[124],"or":[125],"system":[126],"malfunctions.":[127],"validate":[129],"our":[130],"theoretical":[131],"results":[132],"numerical":[134],"simulations":[135],"real-world":[138],"application":[139],"multi-camera":[141],"crowd":[142],"counting.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
