Co-occurring keywords · papers mentioning both
Papers
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
ICML 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
AISTATS 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
NeurIPS 2021
Near Optimal Distributed Learning of Halfspaces with Two Parties
COLT 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Rethinking gradient sparsification as total error minimization
NeurIPS 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
NeurIPS 2021
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
AAAI 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2021
Towards Tight Communication Lower Bounds for Distributed Optimisation
NeurIPS 2021
Communication, Distortion, and Randomness in Metric Voting
AAAI 2020
Decentralized Accelerated Proximal Gradient Descent
NeurIPS 2020
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
ICML 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking
ICML 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
NeurIPS 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
NeurIPS 2020
Projection-free Distributed Online Convex Optimization with O(√T) Communication Complexity
ICML 2020
Communication and Memory Efficient Testing of Discrete Distributions
COLT 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
ICML 2019
Communication trade-offs for Local-SGD with large step size
NeurIPS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
AISTATS 2019
Distributed PageRank Computation: An Improved Theoretical Study
AAAI 2019
Efficient and Thrifty Voting by Any Means Necessary
NeurIPS 2019
Locally Private Learning without Interaction Requires Separation
NeurIPS 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
COLT 2019