{"id":"https://openalex.org/W4387883806","doi":"https://doi.org/10.1109/icc45041.2023.10278789","title":"Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems","display_name":"Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387883806","doi":"https://doi.org/10.1109/icc45041.2023.10278789"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10278789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc45041.2023.10278789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","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/A5006961690","display_name":"Alaa Awad Abdellatif","orcid":"https://orcid.org/0000-0002-3887-2520"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Alaa Awad Abdellatif","raw_affiliation_strings":["College of Engineering, Qatar University,Qatar","College of Engineering, Qatar University, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Qatar University,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"College of Engineering, Qatar University, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071601235","display_name":"Mhd Saria Allahham","orcid":"https://orcid.org/0000-0002-3883-2588"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mhd Saria Allahham","raw_affiliation_strings":["School of Computing, Queen&#x0027;s University,Kingston,ON,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Queen&#x0027;s University,Kingston,ON,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092811381","display_name":"Noor Khial","orcid":"https://orcid.org/0009-0001-7091-3978"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Noor Khial","raw_affiliation_strings":["College of Engineering, Qatar University,Qatar","College of Engineering, Qatar University, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Qatar University,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"College of Engineering, Qatar University, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021329808","display_name":"Amr Mohamed","orcid":"https://orcid.org/0000-0002-1583-7503"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Amr Mohamed","raw_affiliation_strings":["College of Engineering, Qatar University,Qatar","College of Engineering, Qatar University, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Qatar University,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"College of Engineering, Qatar University, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061831106","display_name":"Aiman Erbad","orcid":"https://orcid.org/0000-0001-7565-5253"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Aiman Erbad","raw_affiliation_strings":["College of Science and Engineering, Hamad Bin Khalifa University,Qatar","College of Science and Engineering, Hamad Bin Khalifa University, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University,Qatar","institution_ids":["https://openalex.org/I4210144839"]},{"raw_affiliation_string":"College of Science and Engineering, Hamad Bin Khalifa University, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029126771","display_name":"Khaled Shaban","orcid":"https://orcid.org/0000-0002-5688-7515"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Khaled Shaban","raw_affiliation_strings":["College of Engineering, Qatar University,Qatar","College of Engineering, Qatar University, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Qatar University,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"College of Engineering, Qatar University, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"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":"55","issue":null,"first_page":"1622","last_page":"1627"},"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/T13553","display_name":"Age of Information Optimization","score":0.9987999796867371,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9544000029563904,"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/upload","display_name":"Upload","score":0.8250732421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134435415267944},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5883570909500122},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5709210634231567},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.519115686416626},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4675869941711426},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4118480682373047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3908615708351135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36125361919403076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.346085786819458}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.8250732421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134435415267944},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5883570909500122},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5709210634231567},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.519115686416626},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4675869941711426},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4118480682373047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3908615708351135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36125361919403076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.346085786819458},{"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/icc45041.2023.10278789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc45041.2023.10278789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2091656757","https://openalex.org/W2604738573","https://openalex.org/W2798566347","https://openalex.org/W2798720628","https://openalex.org/W2989289980","https://openalex.org/W3006403513","https://openalex.org/W3007987197","https://openalex.org/W3045611708","https://openalex.org/W3105122387","https://openalex.org/W3107965923","https://openalex.org/W3117267439","https://openalex.org/W3128382687","https://openalex.org/W3128936934","https://openalex.org/W3136022984","https://openalex.org/W3154373807","https://openalex.org/W3161553238","https://openalex.org/W3163012042","https://openalex.org/W3186504573","https://openalex.org/W3211040691","https://openalex.org/W4287028186","https://openalex.org/W4293145903","https://openalex.org/W4320011080","https://openalex.org/W6728757088","https://openalex.org/W6799011036"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W3116709161","https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W2914646191","https://openalex.org/W3174690704","https://openalex.org/W4386004629"],"abstract_inverted_index":{"The":[0,113,139],"conventional":[1,197],"approach":[2],"for":[3,169],"Federated":[4],"Learning":[5],"(FL)":[6],"is":[7],"to":[8,45,86,126,196],"train":[9],"a":[10,46,57,108,174,181,192],"global":[11,104],"model":[12,105],"by":[13,151],"averaging":[14],"local":[15,19,71,97],"models":[16,33,98],"trained":[17],"on":[18],"data":[20,72,134,163],"sets.":[21],"However,":[22],"given":[23,107,160],"the":[24,29,38,51,66,70,88,103,119,128,145,156,170,185],"limited":[25,109],"computing":[26,74],"resources":[27,75],"at":[28,76,117,136,143],"mobile-edge":[30],"nodes,":[31],"unreliable":[32],"may":[34],"be":[35],"received":[36],"from":[37],"Edge":[39],"Nodes":[40],"(ENs),":[41],"which":[42],"can":[43,94],"lead":[44],"significant":[47],"performance":[48,194],"degradation":[49],"in":[50,99,190],"FL.":[52],"Thus,":[53],"this":[54],"paper":[55],"proposes":[56],"reliable":[58,121,158],"and":[59,73],"age":[60,147],"sensitive":[61],"FL":[62,129,198],"framework":[63],"that":[64,93,123],"captures":[65],"dynamic":[67],"nature":[68],"of":[69,91,102,148,187],"each":[77,100,152],"participating":[78],"EN.":[79],"Specifically,":[80],"we":[81],"formulate":[82],"two":[83,171],"optimization":[84],"problems":[85,172],"select":[87],"optimal":[89],"subset":[90],"ENs":[92,122],"upload":[95],"their":[96],"round":[101],"training,":[106],"learning":[110],"cost":[111],"budget.":[112],"first":[114],"problem":[115,141],"aims":[116,142],"selecting":[118,155],"most":[120,157],"should":[124],"cooperate":[125],"complete":[127],"process,":[130],"while":[131,154],"considering":[132],"stationary":[133],"distributions":[135],"different":[137],"ENs.":[138],"second":[140],"minimizing":[144],"average":[146],"information":[149],"experienced":[150],"EN":[153],"ENs,":[159],"fast":[161],"changing":[162],"distributions.":[164],"Efficient":[165],"solutions":[166,189],"are":[167],"proposed":[168],"with":[173],"worst-case":[175],"linear":[176],"complexity.":[177],"Our":[178],"Results,":[179],"leveraging":[180],"real-world":[182],"dataset,":[183],"depict":[184],"efficiency":[186],"our":[188],"obtaining":[191],"better":[193],"compared":[195],"approach.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
