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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022
ResIST: Layer-wise decomposition of ResNets for distributed training UAI 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning OSDI 2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs NIPS 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NIPS 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NIPS 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation CVPR 2022
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NIPS 2022
Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate NIPS 2022
Distributed Randomized Sketching Kernel Learning AAAI 2022
Owl: Scale and Flexibility in Distribution of Hot Content OSDI 2022
SplitFed: When Federated Learning Meets Split Learning AAAI 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery NIPS 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022