{"id":"https://openalex.org/W7153172439","doi":"https://doi.org/10.48550/arxiv.2604.08368","title":"SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization","display_name":"SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153172439","doi":"https://doi.org/10.48550/arxiv.2604.08368"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.08368","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133347038","display_name":"Seyed Mahmoud Sajjadi Mohammadabadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadabadi, Seyed Mahmoud Sajjadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133371357","display_name":"Xiaolong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Xiaolong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133336933","display_name":"Lei Yang","orcid":"https://orcid.org/0009-0006-5326-3113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133377003","display_name":"Feng Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5117615225","display_name":"Junshan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Junshan","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/T10036","display_name":"Advanced Neural Network Applications","score":0.3100000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.3100000023841858,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.19179999828338623,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.037700001150369644,"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/adapter","display_name":"Adapter (computing)","score":0.7099000215530396},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.529699981212616},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4162999987602234},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3822000026702881},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.320499986410141},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.30880001187324524},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.29159998893737793}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.7099000215530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901999711990356},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42590001225471497},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3822000026702881},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3190999925136566},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3061999976634979},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C12269588","wikidata":"https://www.wikidata.org/wiki/Q132364","display_name":"Communications protocol","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.08368","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Parameter-efficient":[0],"fine-tuning":[1],"(PEFT)":[2],"methods,":[3,122],"such":[4],"as":[5,64],"LoRA,":[6,124],"enable":[7],"scalable":[8],"adaptation":[9],"of":[10,50,56,68,89],"foundation":[11,74,94],"models":[12,150],"by":[13],"injecting":[14],"low-rank":[15],"adapters.":[16,58],"However,":[17],"their":[18],"communication":[19,45],"and":[20,96,108,117,126,142,148,166,174],"storage":[21],"costs":[22],"remain":[23],"a":[24,37,65,133],"major":[25],"bottleneck":[26],"in":[27,171],"resource-constrained":[28],"settings.":[29],"We":[30,130],"propose":[31],"SOLAR":[32,59,100,153],"(Subspace-Oriented":[33],"Latent":[34],"Adapter":[35],"Reparameterization),":[36],"post-training":[38],"compression":[39],"framework":[40],"that":[41,152],"substantially":[42],"reduces":[43],"the":[44,48,73,84,93,102,136],"cost":[46],"(i.e.,":[47],"number":[49],"parameters":[51],"to":[52],"transmit":[53],"or":[54],"store)":[55],"PEFT":[57,62,106,121],"expresses":[60],"each":[61],"update":[63],"linear":[66],"combination":[67],"basis":[69],"vectors":[70,77],"formed":[71],"from":[72,105],"model's":[75],"singular":[76],"with":[78,119],"controlled":[79],"random":[80],"perturbations.":[81],"By":[82],"exploiting":[83],"subspace":[85],"similarity":[86],"(the":[87],"alignment":[88],"principal":[90],"directions)":[91],"between":[92],"model":[95,160],"task-specific":[97],"fine-tuned":[98],"updates,":[99],"decouples":[101],"adapter":[103,128],"size":[104],"structure":[107],"ensures":[109],"compact":[110],"yet":[111],"expressive":[112],"representations.":[113],"It":[114],"is":[115],"model-agnostic":[116],"compatible":[118],"existing":[120],"including":[123],"AdaLoRA,":[125],"other":[127],"modules.":[129],"theoretically":[131],"establish":[132],"bound":[134],"on":[135,140],"reconstruction":[137],"error.":[138],"Experiments":[139],"language":[141],"vision":[143],"tasks":[144],"using":[145],"LLaMA,":[146],"GPT,":[147],"ViT":[149],"demonstrate":[151],"preserves":[154],"task":[155],"performance":[156],"while":[157],"significantly":[158],"reducing":[159],"representation":[161],"sizes,":[162],"offering":[163],"an":[164],"effective":[165],"communication-efficient":[167],"solution":[168],"for":[169],"deployment":[170],"distributed":[172],"systems":[173],"edge":[175],"devices.":[176]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-11T00:00:00"}