{"id":"https://openalex.org/W7139101045","doi":"https://doi.org/10.1109/globecom59602.2025.11432803","title":"On the Generalization and Personalization Tradeoff for Agentic AI Networks","display_name":"On the Generalization and Personalization Tradeoff for Agentic AI Networks","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7139101045","doi":"https://doi.org/10.1109/globecom59602.2025.11432803"},"language":null,"primary_location":{"id":"doi:10.1109/globecom59602.2025.11432803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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/A5108990994","display_name":"X.Y. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xubo Li","raw_affiliation_strings":["Huazhong Univ. of Science & Technology,School of Elect. Inform. & Commun.,China"],"affiliations":[{"raw_affiliation_string":"Huazhong Univ. of Science & Technology,School of Elect. Inform. & Commun.,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129833106","display_name":"Yong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xiao","raw_affiliation_strings":["Huazhong Univ. of Science & Technology,School of Elect. Inform. & Commun.,China"],"affiliations":[{"raw_affiliation_string":"Huazhong Univ. of Science & Technology,School of Elect. Inform. & Commun.,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122180536","display_name":"Yingyu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyu Li","raw_affiliation_strings":["China Univ. of Geosciences,School of Mech. Eng. & Elect. Inform.,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"China Univ. of Geosciences,School of Mech. Eng. & Elect. Inform.,Wuhan,China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108990994"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7952484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5363","last_page":"5368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.1590999960899353,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.1590999960899353,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.07039999961853027,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.062300000339746475,"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/generality","display_name":"Generality","score":0.7358999848365784},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7214000225067139},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6419000029563904},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4465999901294708},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4449000060558319},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43130001425743103},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.41530001163482666},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3887999951839447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935000061988831},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.7358999848365784},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7214000225067139},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6419000029563904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5401999950408936},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32019999623298645},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom59602.2025.11432803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom59602.2025.11432803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","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":7,"referenced_works":["https://openalex.org/W2950821050","https://openalex.org/W3121057473","https://openalex.org/W4200120727","https://openalex.org/W4386634577","https://openalex.org/W4393160522","https://openalex.org/W4408223168","https://openalex.org/W4414080315"],"related_works":[],"abstract_inverted_index":{"Agentic":[0],"AI":[1],"networking":[2],"(AgentNet)":[3],"has":[4],"attracted":[5],"significant":[6],"interest":[7],"recently":[8],"due":[9,55],"to":[10,56,75,131,151],"its":[11],"promising":[12],"potential":[13],"in":[14,25,121],"supporting":[15],"proactive":[16],"learning":[17],"and":[18,52,87,111,142,163,196],"seamless":[19],"collaboration":[20],"among":[21,92],"distributed":[22],"task-oriented":[23],"agents":[24,49,116],"various":[26],"environments.":[27,63,123],"However,":[28],"existing":[29],"solutions":[30],"face":[31],"inherent":[32],"dilemmas.":[33],"On":[34,64],"the":[35,57,65,76,115,136,148,169,190,193,198],"one":[36],"hand,":[37,67],"developing":[38],"a":[39,101,127],"single":[40],"globalized":[41],"model":[42,150],"that":[43,71,107,168],"can":[44,145,175],"generalize":[45],"well":[46],"for":[47,113],"diverse":[48],"incurs":[50],"inconsistent":[51],"unreliable":[53],"performance":[54,191],"neglect":[58],"of":[59,79,89,139,192,200],"their":[60],"distinct":[61],"deployment":[62],"other":[66],"constructing":[68],"personalized":[69,153],"models":[70],"are":[72],"tailored":[73],"according":[74],"individual":[77],"needs":[78],"each":[80,143],"agent":[81,144],"often":[82],"suffers":[83],"from":[84],"resource":[85],"inefficiency":[86],"under-utilization":[88],"shared":[90,137],"knowledge":[91],"agents.":[93],"To":[94],"overcome":[95],"these":[96,173],"challenges,":[97],"we":[98],"propose":[99],"MAN,":[100],"novel":[102],"Meta":[103],"learning-based":[104],"AgentNet":[105],"architecture":[106],"optimally":[108],"balances":[109],"generalization":[110,162],"personalization":[112,165],"all":[114,140],"when":[117],"performing":[118],"different":[119],"tasks":[120],"dynamic":[122],"Specifically,":[124],"MAN":[125,195],"adopts":[126],"bi-level":[128],"optimization":[129],"framework":[130],"develop":[132],"foundation":[133],"meta-models":[134],"as":[135],"initialization":[138],"agents,":[141],"then":[146],"fine-tune":[147],"meta":[149],"enable":[152],"deployment.":[154],"We":[155],"derive":[156],"theoretical":[157,202],"bounds":[158],"on":[159,186],"both":[160],"global":[161],"local":[164],"errors,":[166],"demonstrating":[167],"fundamental":[170],"tradeoff":[171],"between":[172],"two":[174],"only":[176],"be":[177,181],"optimized":[178],"but":[179],"cannot":[180],"fully":[182],"eliminated.":[183],"Extensive":[184],"experiments":[185],"real-world":[187],"datasets":[188],"validate":[189],"proposed":[194],"confirm":[197],"generality":[199],"our":[201],"insights.":[203]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}