Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization
Mathematics & Optimization
›
Optimization
›
Distributed Learning
157 directly classified papers
Papers per year
2005: 1
2006: 1
2007: 1
2010: 1
2011: 1
2012: 5
2013: 5
2014: 4
2015: 3
2016: 4
2017: 8
2018: 11
2019: 7
2020: 16
2021: 22
2022: 11
2023: 19
2024: 27
2025: 10
Papers
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation
L4DC 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
L4DC 2020
Data-Driven Distributed Predictive Control via Network Optimization
L4DC 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD
ICML 2020
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
AAAI 2019
Monoxide: Scale out Blockchains with Asynchronous Consensus Zones
NSDI 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks
JMLR 2019
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning
JMLR 2019
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces
NSDI 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
AISTATS 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
EMNLP 2019
Distributing Frank-Wolfe via Map-Reduce
IJCAI 2018
An efficient distributed learning algorithm based on effective local functional approximations
JMLR 2018
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods
JMLR 2018
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web
IJCAI 2018
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
IJCAI 2018
Distributed Pareto Optimization for Subset Selection
IJCAI 2018
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy
ICML 2018
A Distributed Second-Order Algorithm You Can Trust
ICML 2018
Very Large-Scale Global SfM by Distributed Motion Averaging
CVPR 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
IJCAI 2018
A Decentralised Approach to Intersection Traffic Management
IJCAI 2018
Collaborative Deep Learning in Fixed Topology Networks
NIPS 2017
Projection-free Distributed Online Learning in Networks
ICML 2017
<
1
2
3
4
5
6
7
>