model aggregation

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NeurIPS 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 Towards Flexible Device Participation in Federated Learning AISTATS 2021 An Efficient Framework for Clustered Federated Learning NeurIPS 2020 Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills ACL 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NeurIPS 2020 Transductive Ensemble Learning for Neural Machine Translation AAAI 2020 Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019 RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019 Statistical Model Aggregation via Parameter Matching NeurIPS 2019 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation JMLR 2015 Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls JMLR 2014 Median Selection Subset Aggregation for Parallel Inference NeurIPS 2014 Optimal aggregation of affine estimators COLT 2011 Lower Bounds and Aggregation in Density Estimation JMLR 2006