{"id":"https://openalex.org/W4416955777","doi":"https://doi.org/10.1145/3769102.3774631","title":"Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence","display_name":"Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4416955777","doi":"https://doi.org/10.1145/3769102.3774631"},"language":null,"primary_location":{"id":"doi:10.1145/3769102.3774631","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774631","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774631","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774631","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038747748","display_name":"Haitham Y. Adarbah","orcid":"https://orcid.org/0000-0002-8004-0111"},"institutions":[{"id":"https://openalex.org/I181414168","display_name":"Texas A&M University \u2013 Kingsville","ror":"https://ror.org/05abs3w97","country_code":"US","type":"education","lineage":["https://openalex.org/I181414168"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitham Y. Adarbah","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, College of Engineering, Texas A&M University- Kingsville, Kingsville, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-8004-0111","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, College of Engineering, Texas A&M University- Kingsville, Kingsville, TX, USA","institution_ids":["https://openalex.org/I181414168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061053956","display_name":"Kewei Sha","orcid":"https://orcid.org/0000-0002-3750-163X"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kewei Sha","raw_affiliation_strings":["Department of Data Sciences, University of North Texas, Denton, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0002-3750-163X","affiliations":[{"raw_affiliation_string":"Department of Data Sciences, University of North Texas, Denton, Texas, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050320880","display_name":"Afzel Noore","orcid":"https://orcid.org/0000-0002-3406-7487"},"institutions":[{"id":"https://openalex.org/I181414168","display_name":"Texas A&M University \u2013 Kingsville","ror":"https://ror.org/05abs3w97","country_code":"US","type":"education","lineage":["https://openalex.org/I181414168"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afzel Noore","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, College of Engineering, Texas A&M University- Kingsville, Kingsville, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-3406-7487","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, College of Engineering, Texas A&M University- Kingsville, Kingsville, TX, USA","institution_ids":["https://openalex.org/I181414168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1814277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9024999737739563,"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":0.9024999737739563,"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/T14347","display_name":"Big Data and Digital Economy","score":0.017500000074505806,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.013299999758601189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.667900025844574},{"id":"https://openalex.org/keywords/verifiable-secret-sharing","display_name":"Verifiable secret sharing","score":0.6510000228881836},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.541100025177002},{"id":"https://openalex.org/keywords/business-logic","display_name":"Business logic","score":0.5335999727249146},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5213000178337097},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5120000243186951},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5006999969482422},{"id":"https://openalex.org/keywords/outsourcing","display_name":"Outsourcing","score":0.4821000099182129},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4715999960899353},{"id":"https://openalex.org/keywords/xacml","display_name":"XACML","score":0.4456000030040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822700023651123},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.667900025844574},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.6510000228881836},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C146222976","wikidata":"https://www.wikidata.org/wiki/Q1204997","display_name":"Business logic","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5213000178337097},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.4821000099182129},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4715999960899353},{"id":"https://openalex.org/C2779886121","wikidata":"https://www.wikidata.org/wiki/Q288682","display_name":"XACML","level":3,"score":0.4456000030040741},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4327999949455261},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4059999883174896},{"id":"https://openalex.org/C6377922","wikidata":"https://www.wikidata.org/wiki/Q302542","display_name":"Deontic logic","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34470000863075256},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3769102.3774631","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774631","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774631","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3769102.3774631","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3769102.3774631","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3769102.3774631","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416955777.pdf","grobid_xml":"https://content.openalex.org/works/W4416955777.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W3120984046","https://openalex.org/W3213758632","https://openalex.org/W4213044365","https://openalex.org/W4393252682","https://openalex.org/W4411115598","https://openalex.org/W4412565294"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"enables":[3],"collaborative":[4],"model":[5],"training":[6],"across":[7,114],"edge":[8,47],"devices":[9],"without":[10],"centralizing":[11],"raw":[12],"data,":[13],"but":[14],"existing":[15],"frameworks":[16],"remain":[17],"ill-equipped":[18],"to":[19,102],"support":[20],"data":[21,32],"privacy":[22,89,129],"regulations":[23],"mandated":[24],"by":[25],"GDPR,":[26],"HIPAA,":[27],"and":[28,45,54,68,85,90,98,131,139,148],"CCPA.":[29],"Once":[30],"user":[31],"has":[33],"influenced":[34],"training,":[35],"its":[36],"verifiable":[37,104],"removal":[38],"becomes":[39],"prohibitively":[40],"expensive,":[41],"particularly":[42],"in":[43,142],"non-IID":[44],"resource-constrained":[46],"environments.":[48],"This":[49],"paper":[50],"introduces":[51],"a":[52,88,134],"modular":[53],"scalable":[55],"federated":[56],"unlearning":[57,141],"framework":[58,122],"that":[59],"unifies":[60],"three":[61],"complementary":[62],"strategies:":[63],"gradient":[64],"subtraction,":[65],"knowledge":[66],"distillation,":[67],"checkpoint":[69,78],"rollback,":[70],"within":[71],"an":[72],"adaptive":[73],"decision":[74],"layer.":[75],"A":[76,108],"resource-aware":[77],"manager":[79],"reduces":[80],"storage":[81],"costs":[82],"through":[83],"compression":[84],"pruning,":[86],"while":[87],"trust":[91],"layer":[92],"integrates":[93,124],"zero-knowledge":[94],"proofs,":[95],"differential":[96],"privacy,":[97],"Merkle-based":[99],"audit":[100],"logs":[101],"provide":[103],"guarantees":[105],"of":[106],"deletion.":[107],"non-IID-aware":[109],"aggregator":[110],"further":[111],"preserves":[112],"fairness":[113],"heterogeneous":[115],"clients.":[116],"Unlike":[117],"prior":[118],"approaches,":[119],"our":[120],"proposed":[121],"systematically":[123],"rollback":[125],"efficiency":[126],"with":[127],"formal":[128],"protections":[130],"auditability,":[132],"offering":[133],"practical":[135],"path":[136],"toward":[137],"trustworthy":[138],"regulation-compliant":[140],"domains":[143],"such":[144],"as":[145],"healthcare,":[146],"transportation,":[147],"smart":[149],"agriculture.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-03T00:00:00"}