{"id":"https://openalex.org/W4414198097","doi":"https://doi.org/10.1109/dac63849.2025.11132930","title":"LA-MTL: Latency-Aware Automated Multi-Task Learning","display_name":"LA-MTL: Latency-Aware Automated Multi-Task Learning","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198097","doi":"https://doi.org/10.1109/dac63849.2025.11132930"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5055302731","display_name":"Shambhavi Balamuthu Sampath","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shambhavi Balamuthu Sampath","raw_affiliation_strings":["Technical University of Munich,Equal Contribution"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Equal Contribution","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119641979","display_name":"Sami Sawani","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sami Sawani","raw_affiliation_strings":["Technical University of Munich,Equal Contribution"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Equal Contribution","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050320819","display_name":"Moritz Thoma","orcid":"https://orcid.org/0009-0006-5085-5789"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Moritz Thoma","raw_affiliation_strings":["Technical University of Munich,Equal Contribution"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Equal Contribution","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037365531","display_name":"Lukas Frickenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lukas Frickenstein","raw_affiliation_strings":["Politecnico Di Torino,BMW Group"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino,BMW Group","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037291508","display_name":"Pierpaolo Mori","orcid":"https://orcid.org/0000-0002-2739-4447"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierpaolo Mori","raw_affiliation_strings":["Politecnico Di Torino,BMW Group"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino,BMW Group","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085220085","display_name":"Nael Fasfous","orcid":"https://orcid.org/0000-0002-8081-7904"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nael Fasfous","raw_affiliation_strings":["Politecnico Di Torino,BMW Group"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino,BMW Group","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110816436","display_name":"Manoj Rohit Vemparala","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manoj Rohit Vemparala","raw_affiliation_strings":["Politecnico Di Torino,BMW Group"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino,BMW Group","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047063939","display_name":"Alexander Frickenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alexander Frickenstein","raw_affiliation_strings":["Politecnico Di Torino,BMW Group"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino,BMW Group","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017567485","display_name":"Ulf Schlichtmann","orcid":"https://orcid.org/0000-0003-4431-7619"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulf Schlichtmann","raw_affiliation_strings":["Technical University of Munich,Equal Contribution"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Equal Contribution","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047224434","display_name":"Claudio Passerone","orcid":"https://orcid.org/0000-0001-5652-221X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Passerone","raw_affiliation_strings":["Politecnico Di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico Di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005732789","display_name":"Walter Stechele","orcid":"https://orcid.org/0000-0002-7455-8483"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Walter Stechele","raw_affiliation_strings":["Technical University of Munich,Equal Contribution"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Equal Contribution","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5055302731"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1345494,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9128999710083008,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9128999710083008,"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/inference","display_name":"Inference","score":0.7319999933242798},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6480000019073486},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46320000290870667},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45579999685287476},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.36169999837875366},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3596999943256378},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.35100001096725464},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.3424000144004822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681999802589417},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7319999933242798},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6480000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.574999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5570999979972839},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.36169999837875366},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11132930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2963163009","https://openalex.org/W2963430933","https://openalex.org/W2963877604","https://openalex.org/W2963918968","https://openalex.org/W2964247799","https://openalex.org/W2966182616","https://openalex.org/W2984039063","https://openalex.org/W3013854788","https://openalex.org/W3035130950","https://openalex.org/W3137964246","https://openalex.org/W3157708976","https://openalex.org/W4319300305","https://openalex.org/W4386076083","https://openalex.org/W4392248509"],"related_works":[],"abstract_inverted_index":{"Multi-Task":[0],"Learning":[1],"(MTL)":[2],"aims":[3],"to":[4,78,134],"unify":[5],"a":[6,11,96,155,165],"variety":[7],"of":[8,31,188],"tasks":[9,49,153],"into":[10],"single":[12],"network":[13],"for":[14,24,104],"improved":[15],"training":[16],"and":[17,47,106,123,150,197],"inference":[18,54],"efficiency.":[19],"This":[20],"is":[21,204],"particularly":[22],"attractive":[23],"real-time":[25],"applications":[26],"that":[27,94,117],"require":[28],"simultaneous":[29],"execution":[30],"multiple":[32],"workloads":[33],"in":[34,57,76,147,199],"resource-constrained":[35],"embedded":[36],"environments.":[37],"However,":[38],"most":[39],"MTL":[40,91,111,172],"approaches":[41],"focus":[42],"on":[43,68,128,138,158,180],"enhancing":[44],"parameters":[45,70,121,167,173],"efficiency":[46,71,122],"overall":[48],"metrics,":[50,120],"often":[51],"lacking":[52],"explicit":[53],"latency":[55,80,99,124,137],"awareness":[56],"the":[58,69,110,139,159,170,186],"optimization":[59],"loop.":[60],"The":[61],"design":[62],"space":[63],"exploration":[64],"should":[65],"not":[66],"compromise":[67],"or":[72],"task":[73,119],"accuracy":[74],"objectives":[75],"order":[77],"meet":[79],"requirements.":[81],"To":[82],"address":[83],"this,":[84],"we":[85,114,163],"propose":[86],"LA-MTL,":[87],"an":[88],"automated":[89],"layer-level":[90],"policy":[92,112],"search":[93,127],"incorporates":[95],"novel":[97],"analytical":[98],"factor":[100],"(ALF).":[101],"By":[102],"accounting":[103],"local":[105],"global":[107],"latencies":[108],"during":[109],"search,":[113],"derive":[115],"solutions":[116,131],"balance":[118],"constraints.":[125],"LA-MTL":[126],"ResNet34":[129],"yields":[130],"with":[132,154],"up":[133],"50%":[135],"lower":[136],"Jetson":[140],"AGX":[141],"Orin":[142],"while":[143],"maintaining":[144],"competitive":[145],"metrics":[146],"semantic":[148],"segmentation":[149],"depth":[151],"estimation":[152],"+/-2":[156],"p.p.,":[157],"CityScapes":[160],"dataset.":[161],"Additionally,":[162],"achieve":[164],"superior":[166],"efficiency,":[168],"surpassing":[169],"state-of-theart":[171],"reduction":[174],"by":[175],"over":[176],"20":[177],"p.p.":[178],"Experiments":[179],"benchmark":[181],"datasets":[182],"(CityScapes,":[183],"NYUv2)":[184],"demonstrate":[185],"effectiveness":[187],"our":[189],"approach":[190],"across":[191],"various":[192],"backbones":[193],"including":[194],"ResNet34,":[195],"MobileNetV2,":[196],"MobileOne":[198],"its":[200],"expanded":[201],"form.":[202],"Code":[203],"available":[205],"at":[206],"https://github.com/shamvbs/LA-MTL.<sup":[207],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[208],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[209]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
