Distributed Learning

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Communication-Efficient Collaborative Best Arm Identification AAAI 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces AAAI 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 Coordinating Distributed Example Orders for Provably Accelerated Training NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023 Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity ICLR 2023 Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Learning With Multi-Headed Distillation CVPR 2023 Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence NeurIPS 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023 Deep Incubation: Training Large Models by Divide-and-Conquering ICCV 2023 DepthFL : Depthwise Federated Learning for Heterogeneous Clients ICLR 2023 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning NeurIPS 2023 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023 Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023 Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost ICML 2023 Distributed Extra-gradient with Optimal Complexity and Communication Guarantees ICLR 2023 Distributed Inference and Fine-tuning of Large Language Models Over The Internet NeurIPS 2023