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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022
Personalized Federated Learning with Contextualized Generalization IJCAI 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data ICML 2022
Privacy Amplification by Decentralization AISTATS 2022
SplitFed: When Federated Learning Meets Split Learning AAAI 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
Distributed Randomized Sketching Kernel Learning AAAI 2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs NIPS 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers ICML 2022
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NIPS 2022
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information L4DC 2022
Distributed Sparse Multicategory Discriminant Analysis AISTATS 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022
Learning Linear Models Using Distributed Iterative Hessian Sketching L4DC 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
Recovering Private Text in Federated Learning of Language Models NIPS 2022
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization OSDI 2022
Personalized Online Federated Learning with Multiple Kernels NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
A Resilient Distributed Boosting Algorithm ICML 2022
Topology-aware Generalization of Decentralized SGD ICML 2022