Co-occurring keywords · papers mentioning both
Papers
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
NeurIPS 2022
Communication-efficient Distributed Learning for Large Batch Optimization
ICML 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
ICML 2022
Data-splitting improves statistical performance in overparameterized regimes
AISTATS 2022
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
JMLR 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
NeurIPS 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
NeurIPS 2022
Decentralized Training of Foundation Models in Heterogeneous Environments
NeurIPS 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
AAAI 2022
Detached Error Feedback for Distributed SGD with Random Sparsification
ICML 2022
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
EMNLP 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022
Distributed adversarial training to robustify deep neural networks at scale
UAI 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
JMLR 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives
NeurIPS 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
NeurIPS 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
NeurIPS 2022
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
NeurIPS 2022
Distributed Learning of Finite Gaussian Mixtures
JMLR 2022
Distributed Learning with Strategic Users: A Repeated Game Approach
AAAI 2022
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
NeurIPS 2022
Distributed Online Convex Optimization with Compressed Communication
NeurIPS 2022
Distributed Randomized Sketching Kernel Learning
AAAI 2022