{"id":"https://openalex.org/W4405909353","doi":"https://doi.org/10.1109/itw61385.2024.10806940","title":"Federated Learning Meets Network Coding: Efficient Coded Hierarchical Federated Learning","display_name":"Federated Learning Meets Network Coding: Efficient Coded Hierarchical Federated Learning","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4405909353","doi":"https://doi.org/10.1109/itw61385.2024.10806940"},"language":"en","primary_location":{"id":"doi:10.1109/itw61385.2024.10806940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102839652","display_name":"Tianli Gao","orcid":"https://orcid.org/0009-0008-7949-7246"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianli Gao","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101751537","display_name":"Jiahong Lin","orcid":"https://orcid.org/0000-0002-5036-529X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Lin","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049701424","display_name":"Congduan Li","orcid":"https://orcid.org/0000-0003-0495-332X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congduan Li","raw_affiliation_strings":["School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079559561","display_name":"Chee Wei Tan","orcid":"https://orcid.org/0000-0002-6624-9752"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chee Wei Tan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100776559","display_name":"Jun Gao","orcid":"https://orcid.org/0009-0005-9256-4747"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["China Unicom Online Information Technology Co.Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Online Information Technology Co.Ltd","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9987000226974487,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9929999709129333,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.812271237373352},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.5851578712463379},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5539179444313049},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.47286128997802734},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.355696439743042},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3373032808303833},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32838934659957886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3239936828613281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812271237373352},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.5851578712463379},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5539179444313049},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.47286128997802734},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.355696439743042},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3373032808303833},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32838934659957886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3239936828613281},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw61385.2024.10806940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","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":16,"referenced_works":["https://openalex.org/W2105831729","https://openalex.org/W2129119419","https://openalex.org/W2542298476","https://openalex.org/W2776643788","https://openalex.org/W2962789451","https://openalex.org/W2963928051","https://openalex.org/W3008490107","https://openalex.org/W3021654819","https://openalex.org/W3045638580","https://openalex.org/W3081034653","https://openalex.org/W3104691194","https://openalex.org/W3204883510","https://openalex.org/W4385640289","https://openalex.org/W4393171290","https://openalex.org/W4400314239","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2212571888","https://openalex.org/W2777914285","https://openalex.org/W4378677776","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W2139379087","https://openalex.org/W2285288187","https://openalex.org/W2411336269","https://openalex.org/W2020805386"],"abstract_inverted_index":{"Federated":[0,66],"learning":[1,5,31],"is":[2,124],"a":[3,10,38,88,150],"machine":[4],"framework":[6],"that":[7,103,140],"facilitates":[8],"training":[9],"shared":[11],"model":[12,33],"from":[13,149],"distributed":[14],"clients.":[15],"However,":[16],"challenges":[17],"persist":[18],"in":[19,109,118],"optimizing":[20],"communication":[21,72],"efficiency.":[22,73],"In":[23],"this":[24],"paper,":[25],"we":[26,61],"focus":[27],"on":[28],"hierarchical":[29],"federated":[30],"and":[32,95,113,154],"its":[34,156],"global":[35],"aggregation":[36],"as":[37],"network":[39,59,112],"function":[40],"computation":[41],"problem,":[42],"where":[43,128],"the":[44,50,54,93,99,115,160],"central":[45],"server":[46],"desires":[47],"to":[48,70,85],"compute":[49],"arithmetic":[51],"sum":[52],"of":[53,98],"clients'":[55],"gradients.":[56],"Inspired":[57],"by":[58],"coding,":[60],"propose":[62],"two":[63],"Coded":[64],"Hierarchical":[65],"Learning":[67],"(CHFL)":[68],"approaches":[69],"enhance":[71],"The":[74,121],"first":[75],"approach,":[76],"Separated":[77],"CHFL":[78,126],"(S-CHFL),":[79],"involves":[80],"transmitting":[81],"divided":[82,129],"segments":[83,130],"separately":[84],"relays":[86],"using":[87],"greedy":[89],"algorithm.":[90],"We":[91,138],"establish":[92],"upper":[94,116,157],"lower":[96],"bounds":[97],"computing":[100,161],"rate,":[101],"showing":[102],"S-CHFL":[104],"can":[105],"achieve":[106],"perfect":[107],"balance":[108],"reverse":[110],"combination":[111],"reach":[114],"bound":[117,158],"certain":[119],"networks.":[120],"second":[122],"approach":[123],"Mixed":[125],"(M-CHFL)":[127],"are":[131],"mixed":[132],"into":[133],"linear":[134],"combinations":[135],"for":[136,159],"transmission.":[137],"show":[139],"M-CHFL":[141],"may":[142],"be":[143],"more":[144],"efficient":[145],"when":[146],"data":[147],"comes":[148],"sufficiently":[151],"large":[152],"alphabet":[153],"analyze":[155],"rate.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
