{"id":"https://openalex.org/W4308237308","doi":"https://doi.org/10.1109/icip46576.2022.9897551","title":"Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation","display_name":"Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237308","doi":"https://doi.org/10.1109/icip46576.2022.9897551"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897551","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5022782732","display_name":"Goutham Rangu","orcid":null},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Rangu Goutham","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000594867","display_name":"Homayun Afrabandpey","orcid":"https://orcid.org/0000-0001-7639-1501"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Homayun Afrabandpey","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049106121","display_name":"Francesco Cricri","orcid":"https://orcid.org/0000-0002-1521-420X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Francesco Cricri","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671939","display_name":"Honglei Zhang","orcid":"https://orcid.org/0000-0002-8229-852X"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Honglei Zhang","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015289739","display_name":"Emre Aksu","orcid":"https://orcid.org/0000-0001-7363-2824"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Emre Aksu","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044816664","display_name":"Miska M. Hannuksela","orcid":"https://orcid.org/0000-0003-3405-0850"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Miska Hannuksela","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002546998","display_name":"Hamed R. Tavakoli","orcid":"https://orcid.org/0000-0002-9466-9148"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hamed R. Tavakoli","raw_affiliation_strings":["Nokia Technologies"],"affiliations":[{"raw_affiliation_string":"Nokia Technologies","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022782732"],"corresponding_institution_ids":["https://openalex.org/I2738502077"],"apc_list":null,"apc_paid":null,"fwci":0.1041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30189086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2097","last_page":"2101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9980000257492065,"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/quantization","display_name":"Quantization (signal processing)","score":0.8599737882614136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718054473400116},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5924517512321472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5913084745407104},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5611675977706909},{"id":"https://openalex.org/keywords/ternary-operation","display_name":"Ternary operation","score":0.5039140582084656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49771764874458313},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49475449323654175},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.47334933280944824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.280218243598938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17592087388038635}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8599737882614136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718054473400116},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5924517512321472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5913084745407104},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5611675977706909},{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.5039140582084656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49771764874458313},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49475449323654175},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.47334933280944824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.280218243598938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17592087388038635},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897551","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2037227137","https://openalex.org/W2115613939","https://openalex.org/W2129768577","https://openalex.org/W2194775991","https://openalex.org/W2560674852","https://openalex.org/W2747329762","https://openalex.org/W2807876212","https://openalex.org/W2963163009","https://openalex.org/W2978015420","https://openalex.org/W2989289980","https://openalex.org/W3004198379","https://openalex.org/W3015901293","https://openalex.org/W3111009493","https://openalex.org/W3181576318","https://openalex.org/W4318619660","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6746839373","https://openalex.org/W6748019269","https://openalex.org/W6752012617"],"related_works":["https://openalex.org/W2161073421","https://openalex.org/W2059661740","https://openalex.org/W4287750387","https://openalex.org/W2121067345","https://openalex.org/W3209251257","https://openalex.org/W3039944263","https://openalex.org/W2044964419","https://openalex.org/W2023587177","https://openalex.org/W2094714038","https://openalex.org/W2144404403"],"abstract_inverted_index":{"A":[0],"stochastic":[1],"binary-ternary":[2],"(SBT)":[3],"quantization":[4,46,53,151],"approach":[5],"is":[6,47],"introduced":[7],"for":[8],"communication":[9],"efficient":[10],"federated":[11],"computation;":[12],"form":[13],"of":[14,26,145,155],"collaborative":[15],"computing":[16],"where":[17],"locally":[18],"trained":[19],"models":[20,30],"are":[21,55],"exchanged":[22],"between":[23,81,92],"institutes.":[24],"Communication":[25],"deep":[27],"neural":[28],"network":[29,129],"could":[31],"be":[32],"highly":[33],"inefficient":[34],"due":[35],"to":[36,89,108,162],"their":[37],"large":[38],"size.":[39],"This":[40],"motivates":[41],"model":[42],"compression":[43,117],"in":[44,114,153],"which":[45,112],"an":[48,87],"important":[49],"step.":[50],"Two":[51],"well-known":[52],"algorithms":[54,152],"binary":[56,93],"and":[57,83,94],"ternary":[58,95],"quantization.":[59,96],"The":[60,68],"first":[61],"leads":[62],"into":[63],"good":[64,71],"compression,":[65,84,156],"sacrificing":[66,119],"accuracy.":[67,121],"second":[69],"provides":[70],"accuracy":[72,82,160],"with":[73,99],"less":[74],"compression.":[75],"To":[76],"better":[77,116],"benefit":[78],"from":[79],"trade-off":[80],"we":[85,102],"propose":[86],"algorithm":[88,107,126,148],"stochastically":[90],"switch":[91],"By":[97],"combining":[98],"uniform":[100],"quantization,":[101],"further":[103],"extend":[104],"the":[105,120,124,142,146,159],"proposed":[106,125,147],"a":[109],"hierarchical":[110,143],"method":[111],"results":[113,139],"even":[115],"without":[118],"We":[122],"tested":[123],"using":[127],"Neural":[128],"Compression":[130],"Test":[131],"Model":[132],"(NCTM)":[133],"provided":[134,164],"by":[135,165],"MPEG":[136],"community.":[137],"Our":[138],"demonstrate":[140],"that":[141,163],"variant":[144],"outperforms":[149],"other":[150,166],"term":[154],"while":[157],"maintaining":[158],"competitive":[161],"methods.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}