distributed learning

Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Distributed Personalized Empirical Risk Minimization NeurIPS 2023 Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023 Divide-and-Conquer Fusion JMLR 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data ICLR 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Federated Conformal Predictors for Distributed Uncertainty Quantification ICML 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Learning for Commercial Image Sources WACV 2023 Federated Learning for Data Streams AISTATS 2023 Federated Learning from Small Datasets ICLR 2023 Federated learning of models pre-trained on different features with consensus graphs UAI 2023 Federated Learning under Distributed Concept Drift AISTATS 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation NeurIPS 2023 Federated Multi-Objective Learning NeurIPS 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 FLASH: Automating federated learning using CASH UAI 2023 Flash: Concept Drift Adaptation in Federated Learning ICML 2023 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023