Distributed Learning

Distributed Linear Bandits under Communication Constraints ICML 2023 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Distributed Personalized Empirical Risk Minimization NeurIPS 2023 Distributed Sparse Regression via Penalization JMLR 2023 Distributed Statistical Inference under Heterogeneity JMLR 2023 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023 DropCompute: simple and more robust distributed synchronous training via compute variance reduction NeurIPS 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression ICML 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NeurIPS 2023 Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NeurIPS 2023 ExoFlow: A Universal Workflow System for Exactly-Once DAGs OSDI 2023 Fast Algorithms for Distributed k-Clustering with Outliers ICML 2023 Faster Adaptive Federated Learning AAAI 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 Federated Heavy Hitter Recovery under Linear Sketching ICML 2023 Federated Learning for Commercial Image Sources WACV 2023