{"id":"https://openalex.org/W4320521991","doi":"https://doi.org/10.48550/arxiv.2301.07806","title":"Federated Automatic Differentiation","display_name":"Federated Automatic Differentiation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320521991","doi":"https://doi.org/10.48550/arxiv.2301.07806"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.07806","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2301.07806","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058003224","display_name":"Keith Rush","orcid":"https://orcid.org/0000-0003-3190-0557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rush, Keith","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034877995","display_name":"Zachary Charles","orcid":"https://orcid.org/0000-0001-8997-874X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charles, Zachary","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5017433837","display_name":"Zachary Garrett","orcid":"https://orcid.org/0000-0001-8158-3997"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garrett, Zachary","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9996,"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":0.9996,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.922,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9036,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-differentiation","display_name":"Automatic differentiation","score":0.75994414},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.67730457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394797},{"id":"https://openalex.org/C133512626","wikidata":"https://www.wikidata.org/wiki/Q787371","display_name":"Automatic differentiation","level":3,"score":0.75994414},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6962851},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.67730457},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.50967956},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45013088},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43619865},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42503738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35376716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19202289},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.07806","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.07806","pdf_url":"http://arxiv.org/pdf/2301.07806","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2301.07806","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2301.07806","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.44,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W876159576","https://openalex.org/W79913212","https://openalex.org/W560952460","https://openalex.org/W4283579741","https://openalex.org/W30819010","https://openalex.org/W3066706303","https://openalex.org/W2477549100","https://openalex.org/W2378898096","https://openalex.org/W2290927522","https://openalex.org/W2094884983"],"abstract_inverted_index":{"Federated":[0],"learning":[1,8],"(FL)":[2],"is":[3,129],"a":[4,20,51,79,123],"general":[5],"framework":[6,56],"for":[7,210],"across":[9,92,214],"heterogeneous":[10],"clients":[11],"while":[12],"preserving":[13],"data":[14],"privacy,":[15],"under":[16,131],"the":[17,41,142,177,197],"orchestration":[18],"of":[19,28,62,126,135,176],"central":[21],"server.":[22],"FL":[23],"methods":[24],"often":[25],"compute":[26],"gradients":[27],"loss":[29],"functions":[30,63],"purely":[31],"locally":[32],"(ie.":[33],"entirely":[34,39],"at":[35,40],"each":[36],"client,":[37],"or":[38,202],"server),":[42],"typically":[43],"using":[44,107,148,156,193,204],"automatic":[45,53],"differentiation":[46,54],"(AD)":[47],"techniques.":[48],"We":[49,95,161],"propose":[50],"federated":[52,84,127],"(FAD)":[55],"that":[57,102,122,140,172,184],"1)":[58],"enables":[59],"computing":[60,211],"derivatives":[61,91],"involving":[64],"client":[65],"and":[66,75,116],"server":[67,198],"computation":[68,144],"as":[69,71],"well":[70],"communication":[72,93],"between":[73],"them":[74],"2)":[76],"operates":[77],"in":[78,97,138],"manner":[80],"compatible":[81],"with":[82,99],"existing":[83],"technology.":[85],"In":[86,180],"other":[87],"words,":[88],"FAD":[89,103,165,194,205],"computes":[90],"boundaries.":[94],"show,":[96],"analogy":[98],"traditional":[100],"AD,":[101],"may":[104,153],"be":[105,146,154,167],"implemented":[106,147],"various":[108,133],"accumulation":[109],"modes,":[110],"which":[111],"introduce":[112],"distinct":[113],"computation-communication":[114],"trade-offs":[115],"systems":[117],"requirements.":[118],"Further,":[119],"we":[120,182],"show":[121,163,183],"broad":[124],"class":[125],"computations":[128],"closed":[130],"these":[132,158],"modes":[134],"FAD,":[136],"implying":[137],"particular":[139],"if":[141],"original":[143],"can":[145,166,187],"privacy-preserving":[149],"primitives,":[150],"its":[151],"derivative":[152],"computed":[155],"only":[157],"same":[159],"primitives.":[160],"then":[162],"how":[164],"used":[168],"to":[169,195,206],"create":[170],"algorithms":[171,186],"dynamically":[173],"learn":[174,207],"components":[175],"algorithm":[178],"itself.":[179],"particular,":[181],"FedAvg-style":[185],"exhibit":[188],"significantly":[189],"improved":[190],"performance":[191],"by":[192,203],"adjust":[196],"optimization":[199],"step":[200],"automatically,":[201],"weighting":[208],"schemes":[209],"weighted":[212],"averages":[213],"clients.":[215]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4320521991","counts_by_year":[],"updated_date":"2025-02-23T03:53:08.196648","created_date":"2023-02-14"}