{"id":"https://openalex.org/W4397026682","doi":"https://doi.org/10.1145/3639856.3639867","title":"TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment","display_name":"TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4397026682","doi":"https://doi.org/10.1145/3639856.3639867"},"language":"en","primary_location":{"id":"doi:10.1145/3639856.3639867","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639867","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639867","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Third International Conference on Artificial Intelligence and Machine Learning Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102789002","display_name":"Luca Colombo","orcid":"https://orcid.org/0000-0002-1986-6459"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Colombo","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1986-6459","affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080950812","display_name":"Alessandro Falcetta","orcid":"https://orcid.org/0000-0003-0460-1690"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Falcetta","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0460-1690","affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7828-7687","affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9894999861717224,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9860000014305115,"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":0.8381959199905396},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6211670637130737},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5378472208976746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5273826122283936},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4714948534965515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4654477536678314},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45813679695129395},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45633500814437866},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4416908919811249},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.41868042945861816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4037730097770691},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3710843324661255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.362537145614624},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11713331937789917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381959199905396},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6211670637130737},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5378472208976746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5273826122283936},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4714948534965515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4654477536678314},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45813679695129395},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45633500814437866},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4416908919811249},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.41868042945861816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4037730097770691},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3710843324661255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362537145614624},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11713331937789917},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3639856.3639867","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639867","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639867","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Third International Conference on Artificial Intelligence and Machine Learning Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2411.16442","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.16442","pdf_url":"https://arxiv.org/pdf/2411.16442","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:re.public.polimi.it:11311/1270123","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1270123","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3639856.3639867","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639856.3639867","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639856.3639867","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Third International Conference on Artificial Intelligence and Machine Learning Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4397026682.pdf"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2027377876","https://openalex.org/W2898799303","https://openalex.org/W2913570153","https://openalex.org/W2999074226","https://openalex.org/W3096106062","https://openalex.org/W4213348099","https://openalex.org/W6771536673"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Training":[0],"machine":[1,20],"and":[2,132,148,195,217,230],"deep":[3],"learning":[4,118,206],"models":[5],"directly":[6],"on":[7,38,54,98,138,169],"extremely":[8],"resource-constrained":[9],"devices":[10,71,139],"is":[11,28,62,90,233],"the":[12,16,34,48,83,102,106,151,161,165,191,197,205,215,220,237],"next":[13],"challenge":[14],"in":[15,25,78,105,108,143,156],"field":[17,27],"of":[18,33,86,145,160,190,203,219],"tiny":[19,99],"learning.":[21],"The":[22,211,223],"related":[23],"literature":[24],"this":[26,109],"very":[29],"limited,":[30],"since":[31],"most":[32],"solutions":[35],"focus":[36],"only":[37,187],"on-device":[39],"inference":[40],"or":[41],"model":[42,77,194],"adaptation":[43],"through":[44],"online":[45],"learning,":[46],"leaving":[47],"training":[49],"to":[50,63,72,136,185,199,236],"be":[51],"carried":[52],"out":[53],"external":[55],"Cloud":[56],"services.":[57],"An":[58],"interesting":[59],"technological":[60],"perspective":[61],"exploit":[64],"Federated":[65,117],"Learning":[66],"(FL),":[67],"which":[68,157,181],"allows":[69],"multiple":[70,209],"collaboratively":[73],"train":[74,186],"a":[75,79,114,188,200,241],"shared":[76],"distributed":[80],"way.":[81],"However,":[82],"main":[84],"drawback":[85],"state-of-the-art":[87],"FL":[88,162],"algorithms":[89],"that":[91],"they":[92],"are":[93],"not":[94],"suitable":[95],"for":[96],"running":[97],"devices.":[100,210],"For":[101],"first":[103],"time":[104],"literature,":[107],"paper":[110],"we":[111,174],"introduce":[112],"TIFeD,":[113],"Tiny":[115],"Integer-based":[116],"algorithm":[119],"with":[120,140,227],"Direct":[121],"Feedback":[122],"Alignment":[123],"(DFA)":[124],"entirely":[125],"implemented":[126],"by":[127],"using":[128],"an":[129,176],"integer-only":[130],"arithmetic":[131],"being":[133],"specifically":[134],"designed":[135],"operate":[137],"limited":[141],"resources":[142],"terms":[144],"memory,":[146],"computation":[147],"energy.":[149],"Besides":[150],"traditional":[152],"full-network":[153,229],"operating":[154],"modality,":[155],"each":[158,183],"device":[159,184],"setting":[163],"trains":[164],"entire":[166],"neural":[167,192],"network":[168,193],"its":[170,228],"own":[171],"local":[172],"data,":[173],"propose":[175],"innovative":[177],"single-layer":[178,231],"TIFeD":[179,225],"implementation,":[180],"enables":[182],"portion":[189],"opens":[196],"door":[198],"new":[201],"way":[202],"distributing":[204],"procedure":[207],"across":[208],"experimental":[212],"results":[213],"show":[214],"feasibility":[216],"effectiveness":[218],"proposed":[221,224],"solution.":[222],"algorithm,":[226],"implementations,":[232],"made":[234],"available":[235],"scientific":[238],"community":[239],"as":[240],"public":[242],"repository.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
