{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T05:52:59Z","timestamp":1781848379944,"version":"3.54.5"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,24]]},"DOI":"10.1109\/iscas66217.2026.11561981","type":"proceedings-article","created":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T20:06:41Z","timestamp":1781813201000},"page":"3072-3076","source":"Crossref","is-referenced-by-count":0,"title":["MeritFL: Self-Regulating Federated Learning via Merit-Gated Communication"],"prefix":"10.1109","author":[{"given":"Zhengliang","family":"Guo","sequence":"first","affiliation":[{"name":"Fudan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Yang","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linxiao","family":"Gong","sequence":"additional","affiliation":[{"name":"HKUST (GZ)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Tongji University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Song","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/comst.2026.3669216"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3418862"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2023.3322340"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3600252"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3596907"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30714-9"},{"key":"ref7","article-title":"A survey on cloud-edge-terminal collaborative intelligence in aiot networks","author":"Wu","year":"2025"},{"key":"ref8","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"AISTATS","author":"McMahan"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3309497"},{"key":"ref10","first-page":"2021","article-title":"Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization","author":"Reisizadeh","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3350660"},{"key":"ref12","article-title":"Deep gradient compression: Reducing the communication bandwidth for distributed training","volume-title":"ICLR","author":"Lin"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109568"},{"key":"ref14","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","author":"Karimireddy","year":"2019"},{"key":"ref15","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","author":"Li","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3558089"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3028742"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS46773.2023.10181740"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-04451-5"},{"key":"ref20","article-title":"Asynchronous federated optimization","author":"Xie","year":"2019","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS56072.2025.11044265"},{"key":"ref22","article-title":"Oort: Informed participant selection for scalable federated learning","author":"Lai","year":"2020","journal-title":"ArXiv"},{"key":"ref23","article-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies","author":"Cho","year":"2020","journal-title":"ArXiv"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294915"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3860-y"},{"key":"ref26","article-title":"Ensemble distillation for robust model fusion in federated learning","author":"Lin","year":"2020","journal-title":"NeurIPS"},{"key":"ref27","first-page":"1709","article-title":"Qsgd: Communication-efficient sgd via gradient quantization and encoding","author":"Alistarh","year":"2016"},{"key":"ref28","article-title":"Enhancing collaborative learning efficiency via control-theoretic merit gating in federated networks","author":"Liu","year":"2026","journal-title":"IEEE ICC"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3407584"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645514"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2023.3336831"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.36227\/techrxiv.175623882.21520632\/v1","article-title":"Multimodal large language models in medicine and nursing: A survey","author":"Liu","year":"2025"},{"key":"ref33","article-title":"Sparsified SGD with memory","volume-title":"Neural Information Processing Systems","author":"Stich"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3095915"},{"key":"ref35","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"MLSys","author":"Li"},{"key":"ref36","article-title":"Federated learning with personalization layers","author":"Arivazhagan","year":"2019","journal-title":"ArXiv"},{"key":"ref37","article-title":"Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach","volume":"33","author":"Fallah","year":"2020"},{"key":"ref38","article-title":"Projecting to consensus: Communication-efficient collaborative learning across heterogeneous networks","author":"Liu","year":"2026","journal-title":"IEEE ICC"},{"key":"ref39","article-title":"Anomaly detection and generation with diffusion models: A survey","author":"Liu","year":"2025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref41","article-title":"Scmm: Calibrating cross-modal representations for text-based person search","author":"Liu","year":"2023"},{"key":"ref42","article-title":"A survey on diffusion models for anomaly detection","author":"Liu","year":"2025"},{"key":"ref43","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","author":"Wang","year":"2020","journal-title":"ArXiv"},{"issue":"7","key":"ref44","first-page":"1","article-title":"Convolutional deep belief networks on cifar-10","volume":"40","author":"Krizhevsky","year":"2010"},{"issue":"7","key":"ref45","first-page":"3","article-title":"Tiny imagenet visual recognition challenge","volume":"7","author":"Le","year":"2015","journal-title":"CS 231N"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2026 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Shanghai, China","start":{"date-parts":[[2026,5,24]]},"end":{"date-parts":[[2026,5,28]]}},"container-title":["2026 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11561899\/11561804\/11561981.pdf?arnumber=11561981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T05:28:53Z","timestamp":1781846933000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11561981\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,24]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/iscas66217.2026.11561981","relation":{},"subject":[],"published":{"date-parts":[[2026,5,24]]}}}