{"id":"https://openalex.org/W4316660471","doi":"https://doi.org/10.1109/vcip56404.2022.10008860","title":"On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning","display_name":"On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4316660471","doi":"https://doi.org/10.1109/vcip56404.2022.10008860"},"language":"en","primary_location":{"id":"doi:10.1109/vcip56404.2022.10008860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip56404.2022.10008860","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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 Visual Communications and Image Processing (VCIP)","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/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,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","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":false,"raw_author_name":"Goutham Rangu","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","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,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013269975","display_name":"Francesco Criri","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":false,"raw_author_name":"Francesco Criri","raw_affiliation_strings":["Nokia Technologies,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","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,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","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,Finland","Nokia Technologies, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Technologies,Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Technologies, Finland","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16493547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980000257492065,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8410890102386475},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5929508805274963},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5749348402023315},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5296905636787415},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5089797973632812},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.507562518119812},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.48324546217918396},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4737466275691986},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.4732414186000824},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.42811664938926697},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42179277539253235},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4163411855697632},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38915881514549255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37793657183647156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3610954284667969},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22300520539283752},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18630069494247437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14507490396499634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8410890102386475},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5929508805274963},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5749348402023315},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5296905636787415},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5089797973632812},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.507562518119812},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.48324546217918396},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4737466275691986},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.4732414186000824},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.42811664938926697},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42179277539253235},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4163411855697632},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38915881514549255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37793657183647156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3610954284667969},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22300520539283752},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18630069494247437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14507490396499634},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip56404.2022.10008860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vcip56404.2022.10008860","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2129768577","https://openalex.org/W2606891064","https://openalex.org/W2766140019","https://openalex.org/W2807876212","https://openalex.org/W2989289980","https://openalex.org/W3004198379","https://openalex.org/W3101036738","https://openalex.org/W3195391014","https://openalex.org/W3203929423","https://openalex.org/W4206985321","https://openalex.org/W4318619660","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6745723224"],"related_works":["https://openalex.org/W1888655105","https://openalex.org/W4221051479","https://openalex.org/W2783530627","https://openalex.org/W2144823424","https://openalex.org/W4383723869","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,37,95],"effect":[4],"of":[5,9,36,57,67,75],"exploiting":[6],"temporal":[7,30,87],"dependency":[8,88],"successive":[10],"weight":[11,38,59],"updates":[12,39,60],"on":[13,78],"compressing":[14],"communications":[15],"in":[16,69],"Federated":[17],"Learning":[18],"(FL).":[19],"For":[20],"this,":[21],"we":[22,83],"propose":[23],"residual":[24],"coding":[25],"for":[26,65],"FL,":[27],"which":[28,53],"utilizes":[29],"dependencies":[31],"by":[32],"communicating":[33],"compressed":[34],"residuals":[35],"whenever":[40],"they":[41],"are":[42],"beneficial":[43],"to":[44,61],"bandwidth.":[45],"We":[46],"further":[47],"consider":[48],"Temporal":[49],"Context":[50],"Adaptation":[51],"(TCA)":[52],"compares":[54],"co-located":[55],"elements":[56],"consecutive":[58],"select":[62],"optimal":[63],"setting":[64],"compression":[66],"bitstream":[68],"DeepCABAC":[70],"encoder.":[71],"Following":[72],"experimental":[73],"settings":[74],"MPEG":[76],"standard":[77],"Neural":[79],"Network":[80],"Compression":[81],"(NNC),":[82],"demonstrate":[84],"that":[85],"both":[86,101],"based":[89],"technologies":[90],"reduce":[91],"communication":[92],"overhead,":[93],"where":[94],"maximum":[96],"reduction":[97],"is":[98],"obtained":[99],"using":[100],"technologies,":[102],"simultaneously.":[103]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
