TheDistributedDiscreteGaussianMechanismforFederatedLearningwithSecureAggregationPeterKairouz1ZiyuLiu1ThomasSteinke1Abstractlearning(FL)toensurethatrawdataneverleavesusers’devices(McMahanetal.,2017...
PersonalizedFederatedLearningusingHypernetworksAvivShamsian∗1AvivNavon∗1EthanFetaya1GalChechik12Abstractwhileminimizingcommunication.Unfortunately,learningasingleglobalmodelmayfailwhenthedatadist...
HeterogeneityfortheWin:One-ShotFederatedClusteringDonKurianDennis1TianLi1VirginiaSmith1AbstractInthecaseofFederatedlearning,clusteringhasfoundap-plicationsinclient-selection(Choetal.,2020),personal...
GradientDisaggregation:BreakingPrivacyinFederatedLearningbyReconstructingtheUserParticipantMatrixMaximilianLam1Gu-YeonWei1DavidBrooks1VijayJanapaReddi1MichaelMitzenmacher1Abstractorwearables,andmai...
FederatedLearningofUserVerificationModelsWithoutSharingEmbeddingsHosseinHosseini1HyunsinPark1SungrackYun1ChristosLouizos1JosephSoriaga1MaxWelling1Abstractbeddingiscloseenoughtoareferenceembedding,a...
FederatedLearningunderArbitraryCommunicationPatternsDmitriiAvdyukhin1ShivaPrasadKasiviswanathan2AbstractThecanonicalFederatedlearningprobleminvolveslearningasingle,globalstatisticalmodelfromdatasto...
FederatedDeepAUCMaximizationforHeterogeneousDatawithaConstantCommunicationComplexityZhuoningYuan1ZhishuaiGuo1YiXu2YimingYing3TianbaoYang1Abstractdistributedovermultipleclients,e.g.,mobilephones,org...
FederatedContinualLearningwithWeightedInter-clientTransferJaehongYoon1WonyongJeong12GiwoongLee1EunhoYang12SungJuHwang12AbstractFigure1.Concept.Acontinuallearneratahospitalwhichlearnsonsequenceofdis...
FederatedCompositeOptimizationHonglinYuan12ManzilZaheer3SashankReddi3AbstractFigure1.Resultsonsparse(`1-regularized)logisticregres-sionforaFederatedfMRIdatasetbasedon(Haxby,2001).FederatedLearning(...
ExploitingSharedRepresentationsforPersonalizedFederatedLearningLiamCollins1HamedHassani2AryanMokhtari1SanjayShakkottai1Abstracteffectivemodelsforeachclientbyleveragingthelocalcom-putationalpower,me...
FL-NTK:ANeuralTangentKernel-basedFrameworkforFederatedLearningAnalysisBaiheHuang1XiaoxiaoLi2ZhaoSong3XingYang4Abstractfrompersonaldata.Thesepersonaldataaresubjecttoreg-ulationssuchasCaliforniaConsu...
DebiasingModelUpdatesforImprovingPersonalizedFederatedTrainingDurmusAlpEmreAcar1YueZhao2RuizhaoZhu1RamonMatasNavarro2MatthewMattina2PaulN.Whatmough2VenkateshSaligrama1Abstractofdevicesparticipating...
Data-FreeKnowledgeDistillationforHeterogeneousFederatedLearningZhuangdiZhu1JunyuanHong1JiayuZhou1Abstractprivacy-preservinglearningscheme,FLhasshownitspo-tentialtofacilitatereal-worldapplications,i...
CRFL:CertifiablyRobustFederatedLearningagainstBackdoorAttacksChulinXie1MinghaoChen2Pin-YuChen3BoLi1AbstractCRFLTrainingCRFLTestingFederatedLearning(FL)asadistributedlearn-ModelUpdatesParameteringpa...
Ditto:FairandRobustFederatedLearningThroughPersonalizationTianLi1ShengyuanHu1AhmadBeirami2VirginiaSmith1Abstractminimaxoptimizationtofocusontheworst-performingde-vices(Mohrietal.,2019;Huetal.,2020)...
SCAFFOLD:StochasticControlledAveragingforFederatedLearningSaiPraneethKarimireddy12SatyenKale3MehryarMohri34SashankJ.Reddi3SebastianU.Stich1AnandaTheerthaSuresh3Abstractclientdataoverthenetwork,ther...
FederatedLearningwithOnlyPositiveLabelsFelixX.Yu1AnkitSinghRawat1AdityaKrishnaMenon1SanjivKumar1AbstractThissettingcanalsobeextendedtothecasewhereeachuserhasaccesstodataassociatedwithasmallnumberof...
FedBoost:Communication-EfficientAlgorithmsforFederatedLearningJennyHamer1MehryarMohri12AnandaTheerthaSuresh1Abstracttotheserverandcanbecombinedwithcryptographictech-niquesforadditionallayersofpriva...
FetchSGD:Communication-EfficientFederatedLearningwithSketchingDanielRothchild∗1AshwineePanda∗1EnayatUllah2NikitaIvkin3IonStoica1VladimirBraverman2JosephGonzalez1RamanArora2Abstract2018).Evenwitho...
BayesianNonparametricFederatedLearningofNeuralNetworksMikhailYurochkin12MayankAgarwal12SoumyaGhosh123KristjanGreenewald12TrongNghiaHoang12YasamanKhazaeni12Abstractneedforcentralizeddata,insteaddesi...