{"id":"https://openalex.org/W7204844845","doi":"https://doi.org/10.1109/insect68872.2026.11663966","title":"Federated Reinforcement Learning Using MAML and Graph Neural Networks for Safe IoT-Based Chronic Disease Monitoring","display_name":"Federated Reinforcement Learning Using MAML and Graph Neural Networks for Safe IoT-Based Chronic Disease Monitoring","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7204844845","doi":"https://doi.org/10.1109/insect68872.2026.11663966"},"language":"en","primary_location":{"id":"doi:10.1109/insect68872.2026.11663966","doi":"https://doi.org/10.1109/insect68872.2026.11663966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/insect68872.2026.11663966","pdf_url":null,"source":{"id":"https://openalex.org/S7407096306","display_name":"International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/insect68872.2026.11663966","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115894643","display_name":"Ballari Supraja","orcid":"https://orcid.org/0009-0001-5034-9468","observed_orcids":["https://orcid.org/0009-0001-5034-9468","https://orcid.org/0009-0007-1029-5681"]},"institutions":[{"id":"https://openalex.org/I288045149","display_name":"Dravidian University","ror":"https://ror.org/04zj95y60","country_code":"IN","type":"education","lineage":["https://openalex.org/I288045149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ballari Supraja","raw_affiliation_strings":["Dravidian University"],"raw_orcid":"https://orcid.org/0009-0001-5034-9468","affiliations":[{"raw_affiliation_string":"Dravidian University","institution_ids":["https://openalex.org/I288045149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697744","display_name":"Vudattu Kiran Kumar","orcid":"https://orcid.org/0000-0003-4405-2155","observed_orcids":["https://orcid.org/0000-0003-4405-2155"]},"institutions":[{"id":"https://openalex.org/I288045149","display_name":"Dravidian University","ror":"https://ror.org/04zj95y60","country_code":"IN","type":"education","lineage":["https://openalex.org/I288045149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kiran Kumar V","raw_affiliation_strings":["Dravidian University"],"raw_orcid":"https://orcid.org/0000-0003-4405-2155","affiliations":[{"raw_affiliation_string":"Dravidian University","institution_ids":["https://openalex.org/I288045149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028967059","display_name":"Krishna Kumar N","orcid":"https://orcid.org/0000-0001-6550-1488","observed_orcids":["https://orcid.org/0000-0001-6550-1488"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krishna Kumar N","raw_affiliation_strings":["Guru Nanak University (UICSA)"],"raw_orcid":"https://orcid.org/0000-0001-6550-1488","affiliations":[{"raw_affiliation_string":"Guru Nanak University (UICSA)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"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":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9477999806404114,"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":0.9477999806404114,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.01600000075995922,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.014700000174343586,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-reinforcement-learning","display_name":"federated reinforcement learning","score":0.9990000128746033},{"id":"https://openalex.org/keywords/model-agnostic-meta-learning","display_name":"model-agnostic meta-learning","score":0.9589999914169312},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.9139999747276306},{"id":"https://openalex.org/keywords/chronic-disease-monitoring","display_name":"chronic disease monitoring","score":0.7620000243186951},{"id":"https://openalex.org/keywords/internet-of-medical-things","display_name":"Internet of Medical Things","score":0.9629999995231628},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.7300000190734863},{"id":"https://openalex.org/keywords/maddpg","display_name":"MADDPG","score":0.9610000252723694},{"id":"https://openalex.org/keywords/simclr","display_name":"SimCLR","score":0.6959999799728394},{"id":"https://openalex.org/keywords/non-identically-distributed-data","display_name":"non-identically distributed data","score":0.8190000057220459},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.5519999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302000284194946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5623000264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547999739646912},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3946000039577484},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2393999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2190999984741211}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/insect68872.2026.11663966","doi":"https://doi.org/10.1109/insect68872.2026.11663966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/insect68872.2026.11663966","pdf_url":null,"source":{"id":"https://openalex.org/S7407096306","display_name":"International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/insect68872.2026.11663966","doi":"https://doi.org/10.1109/insect68872.2026.11663966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/insect68872.2026.11663966","pdf_url":null,"source":{"id":"https://openalex.org/S7407096306","display_name":"International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Intelligent and Sustainable Electronics & Computing Technologies (INSECT)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W4387563462","https://openalex.org/W4389440153","https://openalex.org/W4389454642","https://openalex.org/W4392372590","https://openalex.org/W4392886178","https://openalex.org/W4393069598","https://openalex.org/W4399140605","https://openalex.org/W4399920066","https://openalex.org/W4404090125","https://openalex.org/W4404772959","https://openalex.org/W4406170481","https://openalex.org/W4406272419","https://openalex.org/W4407176265","https://openalex.org/W4407981015","https://openalex.org/W4409153638","https://openalex.org/W4409539661","https://openalex.org/W4409621211","https://openalex.org/W4409903335","https://openalex.org/W4410020320","https://openalex.org/W4410020697","https://openalex.org/W4410245551","https://openalex.org/W4410521937","https://openalex.org/W4410693748","https://openalex.org/W4410925725","https://openalex.org/W6959503310"],"related_works":["https://openalex.org/W4413066233","https://openalex.org/W7171688519","https://openalex.org/W7167618411","https://openalex.org/W7221184579","https://openalex.org/W6893458705","https://openalex.org/W7166850635","https://openalex.org/W7206186476","https://openalex.org/W7165777914","https://openalex.org/W6959807824","https://openalex.org/W7169826351"],"abstract_inverted_index":{"Accelerating":[0],"prevalence":[1],"of":[2,15,37,53,95,177],"non-communicable":[3],"chronic":[4,166,196],"diseases":[5],"imposes":[6],"urgent":[7],"demand":[8],"for":[9,85,92,108,122,131,194],"intelligent,":[10],"patientspecific":[11],"treatment":[12,125,161],"systems":[13],"capable":[14],"continuous":[16,100],"operation":[17],"over":[18,151,199],"heterogeneous":[19],"physiological":[20,133],"data":[21,48,114],"streams.":[22],"Conventional":[23],"centralized":[24,178],"reinforcement":[25],"learning":[26],"(RL)":[27],"architectures":[28],"face":[29],"three":[30,73],"compounding":[31],"limitations":[32,74],"when":[33,64],"deployed":[34],"in":[35],"Internet":[36],"Things":[38],"(IoT)":[39],"healthcare":[40],"environments:":[41],"inability":[42],"to":[43],"accommodate":[44],"non-identically":[45],"distributed":[46,109],"patient":[47,65,96,149],"across":[49],"edge":[50],"nodes,":[51],"exposure":[52],"sensitive":[54],"health":[55],"records":[56],"during":[57],"model":[58],"training,":[59],"and":[60,127,143,171,191],"slow":[61],"policy":[62,88,110],"adaptation":[63],"clusters":[66],"evolve":[67],"dynamically.":[68],"This":[69],"paper":[70],"addresses":[71],"all":[72],"through":[75],"a":[76,189],"unified":[77],"federated":[78,186],"framework":[79],"that":[80,184],"integrates":[81],"Model-Agnostic":[82],"Meta-Learning":[83],"(MAML)":[84],"rapid":[86],"cluster-level":[87],"initialization,":[89],"Dynamic":[90],"GraphSAGE":[91],"inductive":[93],"construction":[94],"similarity":[97],"graphs":[98],"from":[99,141],"IoT":[101,201],"streams,":[102],"Federated":[103],"Proximal":[104],"Policy":[105,119],"Optimization":[106],"(FedPPO)":[107],"refinement":[111],"without":[112],"raw":[113],"transmission,":[115],"Multi-Agent":[116],"Deep":[117],"Deterministic":[118],"Gradient":[120],"(MADDPG)":[121],"cooperative":[123],"inter-cluster":[124],"coordination,":[126],"SimCLR-based":[128],"contrastive":[129],"pre-training":[130],"robust":[132],"state":[134],"encoding.":[135],"Evaluated":[136],"on":[137],"synthetic":[138],"datasets":[139],"derived":[140],"MIMIC-III":[142],"UK":[144],"Biobank":[145],"distributions":[146],"spanning":[147],"5,000":[148],"traces":[150],"90-day":[152],"windows,":[153],"the":[154],"proposed":[155],"architecture":[156],"converges":[157],"45-50%":[158],"faster,":[159],"improves":[160],"success":[162],"by":[163,169],"20-25%,":[164],"reduces":[165],"exacerbation":[167],"incidence":[168],"15-20%,":[170],"maintains":[172],"communication":[173],"overhead":[174],"below":[175],"10%":[176],"training":[179],"bandwidth.":[180],"These":[181],"outcomes":[182],"confirm":[183],"meta-learning-guided":[185],"RL":[187],"is":[188],"viable":[190],"privacy-compliant":[192],"foundation":[193],"scalable":[195],"disease":[197],"management":[198],"decentralized":[200],"infrastructure.":[202]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-01T00:00:00"}