{"id":"https://openalex.org/W7154498233","doi":"https://doi.org/10.48550/arxiv.2604.12406","title":"LightTune: Lightweight Forward-Only Online Fine-Tuning with Applications to Link Adaptation","display_name":"LightTune: Lightweight Forward-Only Online Fine-Tuning with Applications to Link Adaptation","publication_year":2026,"publication_date":"2026-04-14","ids":{"openalex":"https://openalex.org/W7154498233","doi":"https://doi.org/10.48550/arxiv.2604.12406"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.12406","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102741453","display_name":"Ramy E. Ali","orcid":"https://orcid.org/0000-0002-6273-1998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali, Ramy E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013188167","display_name":"Federico Penna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Penna, Federico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.2750999927520752,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.2750999927520752,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.10090000182390213,"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":0.07490000128746033,"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/block-error-rate","display_name":"Block Error Rate","score":0.8859999775886536},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.560699999332428},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5164999961853027},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5128999948501587},{"id":"https://openalex.org/keywords/link-adaptation","display_name":"Link adaptation","score":0.5073000192642212},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.44269999861717224},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.41510000824928284},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.40139999985694885},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.3894999921321869}],"concepts":[{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.8859999775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925000190734863},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.560699999332428},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.5073000192642212},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.44269999861717224},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42089998722076416},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3894999921321869},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3763999938964844},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C2779609627","wikidata":"https://www.wikidata.org/wiki/Q6554308","display_name":"Link level","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.12406","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12406","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deploying":[0],"machine":[1],"learning":[2,26,38],"(ML)":[3],"algorithms":[4],"on":[5],"mobile":[6,105],"phones":[7],"is":[8],"bottlenecked":[9],"by":[10],"performance":[11,74],"degradation":[12],"under":[13],"dynamic,":[14],"real-world":[15],"conditions":[16,122],"that":[17],"differ":[18],"from":[19],"the":[20,110,133],"offline":[21],"training":[22],"conditions.":[23],"While":[24],"continual":[25],"and":[27,84,155],"adaptation":[28,154,172],"are":[29,40],"essential":[30],"to":[31,115,118,140,162,165],"mitigate":[32],"this":[33,48,148],"distributional":[34],"shift,":[35],"conventional":[36,167],"online":[37,56,143],"methods":[39],"often":[41],"computationally":[42],"prohibitive":[43],"for":[44,103,152],"resource-constrained":[45],"devices.":[46],"In":[47],"paper,":[49],"we":[50,92,146],"propose":[51],"LightTune,":[52],"a":[53,77,89,96,129,166],"lightweight,":[54],"backpropagation-free":[55],"fine-tuning":[57],"framework":[58],"with":[59,142],"provable":[60],"convergence":[61],"guarantees.":[62],"LightTune":[63,94],"opportunistically":[64],"refines":[65],"ML":[66,111],"models":[67],"using":[68],"live":[69],"test-time":[70],"data":[71],"only":[72],"when":[73],"falls":[75],"below":[76],"predefined":[78],"threshold,":[79],"ensuring":[80],"minimal":[81],"computational":[82],"overhead":[83],"highly":[85],"efficient":[86],"responsiveness.":[87],"As":[88],"practical":[90],"demonstration,":[91],"integrate":[93],"into":[95],"block":[97],"error":[98,137],"rate":[99],"(BLER)":[100],"prediction":[101,113,136,150],"algorithm":[102,151],"6G":[104],"systems.":[106],"This":[107],"integration":[108],"enables":[109],"BLER":[112,135,149],"model":[114],"dynamically":[116],"adapt":[117],"previously":[119],"unseen":[120],"channel":[121],"in":[123,132],"real-time.":[124],"Our":[125],"extensive":[126],"results":[127],"show":[128],"substantial":[130],"reduction":[131],"average":[134,157],"of":[138,160],"up":[139,161],"48.8%":[141],"fine-tuning.":[144],"Furthermore,":[145],"leverage":[147],"link":[153,171],"demonstrate":[156],"throughput":[158],"improvements":[159],"15.5%":[163],"compared":[164],"table-based":[168],"outer":[169],"loop":[170],"(OLLA)":[173],"algorithm.":[174]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-16T00:00:00"}