{"id":"https://openalex.org/W4408352029","doi":"https://doi.org/10.1109/icassp49660.2025.10889059","title":"Federated Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties","display_name":"Federated Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352029","doi":"https://doi.org/10.1109/icassp49660.2025.10889059"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5041742905","display_name":"Reza Mirzaeifard","orcid":"https://orcid.org/0000-0002-0720-0027"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Reza Mirzaeifard","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Electronic Systems,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Electronic Systems,Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059938646","display_name":"Stefan Werner","orcid":"https://orcid.org/0000-0003-0148-4724"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Stefan Werner","raw_affiliation_strings":["Norwegian University of Science and Technology,Department of Electronic Systems,Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Department of Electronic Systems,Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041742905"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01999638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9922999739646912,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9858999848365784,"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/quantile-regression","display_name":"Quantile regression","score":0.7844390869140625},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7459982633590698},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.64986252784729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6074382662773132},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5641737580299377},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5472077131271362},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4388507306575775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3729614019393921},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35750114917755127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2819651961326599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22558867931365967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11434724926948547}],"concepts":[{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.7844390869140625},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7459982633590698},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.64986252784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6074382662773132},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5641737580299377},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5472077131271362},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4388507306575775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3729614019393921},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35750114917755127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2819651961326599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22558867931365967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11434724926948547},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1578087040","https://openalex.org/W1965125844","https://openalex.org/W2005732955","https://openalex.org/W2061960194","https://openalex.org/W2074682976","https://openalex.org/W2098000549","https://openalex.org/W2327401273","https://openalex.org/W2593294478","https://openalex.org/W2785011264","https://openalex.org/W2896498835","https://openalex.org/W2962853966","https://openalex.org/W3020882770","https://openalex.org/W3136022984","https://openalex.org/W3158971458","https://openalex.org/W3180608480","https://openalex.org/W4213234812","https://openalex.org/W4281569539","https://openalex.org/W4292259422","https://openalex.org/W4313055121","https://openalex.org/W4313163629","https://openalex.org/W4323520870","https://openalex.org/W4366250585","https://openalex.org/W4385694655","https://openalex.org/W4387460392","https://openalex.org/W4389960981","https://openalex.org/W6728757088","https://openalex.org/W6765541894","https://openalex.org/W6773817997","https://openalex.org/W6861257564"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W4376874882","https://openalex.org/W2224749288"],"abstract_inverted_index":{"In":[0],"decentralized":[1],"systems":[2],"like":[3],"the":[4,56,69],"Internet":[5],"of":[6,135],"Things":[7],"(IoT)":[8],"and":[9,21,38,74,102,124,138],"cyber-physical":[10],"networks,":[11],"where":[12],"data":[13,23],"are":[14],"distributed":[15,48],"across":[16,46,106],"multiple":[17,39],"nodes,":[18,107],"ensuring":[19],"accurate":[20],"robust":[22],"analysis":[24,119],"is":[25],"crucial.":[26],"Existing":[27],"methods":[28,132],"for":[29],"penalized":[30],"quantile":[31],"regression":[32],"often":[33],"struggle":[34],"with":[35],"asynchronous":[36,100],"operations":[37],"updates":[40,101],"per":[41],"node,":[42],"leading":[43],"to":[44],"inconsistencies":[45],"these":[47,52],"nodes.":[49],"To":[50],"address":[51],"challenges,":[53],"we":[54],"propose":[55],"Federated":[57],"Smoothing":[58],"ADMM":[59,96],"(FSAD)":[60],"algorithm,":[61],"which":[62],"integrates":[63],"non-convex":[64],"sparse":[65],"penalties":[66],"\u2013":[67],"specifically,":[68],"minimax":[70],"concave":[71],"penalty":[72],"(MCP)":[73],"smoothly":[75],"clipped":[76],"absolute":[77],"deviation":[78],"(SCAD)\u2013to":[79],"effectively":[80],"identify":[81],"significant":[82],"predictors":[83],"while":[84],"retaining":[85],"sparsity.":[86],"By":[87],"incorporating":[88],"a":[89,94],"total":[90],"variation":[91],"norm":[92],"within":[93],"smoothing":[95],"framework,":[97],"FSAD":[98,129],"supports":[99],"ensures":[103],"model":[104],"consistency":[105],"thereby":[108],"overcoming":[109],"traditional":[110],"convergence":[111,122],"limitations":[112],"in":[113,133],"non-convex,":[114],"federated":[115],"settings.":[116],"Our":[117],"theoretical":[118],"provides":[120],"rigorous":[121],"guarantees,":[123],"extensive":[125],"simulations":[126],"confirm":[127],"that":[128],"outperforms":[130],"existing":[131],"terms":[134],"both":[136],"accuracy":[137],"computational":[139],"efficiency.":[140]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
