Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization
Mathematics & Optimization
›
Optimization
›
Distributed Optimization
99 directly classified papers
Papers per year
2007: 1
2009: 1
2010: 1
2011: 1
2012: 2
2013: 1
2014: 2
2015: 2
2016: 4
2017: 5
2018: 10
2019: 12
2020: 10
2021: 9
2022: 13
2023: 12
2024: 10
2025: 3
Papers
Distributed Newton Can Communicate Less and Resist Byzantine Workers
NIPS 2020
Federated Accelerated Stochastic Gradient Descent
NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation
NIPS 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization
NIPS 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
ICML 2020
Delay-Adaptive Distributed Stochastic Optimization
AAAI 2020
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
NIPS 2019
Multi-Context System for Optimization Problems
AAAI 2019
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique
AAAI 2019
Order Optimal One-Shot Distributed Learning
NIPS 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
NIPS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
NIPS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
NIPS 2019
Distributed Low-rank Matrix Factorization With Exact Consensus
NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging
NIPS 2019
Locally Private Learning without Interaction Requires Separation
NIPS 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
NIPS 2019
Double Quantization for Communication-Efficient Distributed Optimization
NIPS 2019
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
ICML 2018
Communication Efficient Parallel Algorithms for Optimization on Manifolds
NIPS 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
NIPS 2018
Sparsified SGD with Memory
NIPS 2018
Byzantine Stochastic Gradient Descent
NIPS 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
NIPS 2018
<
1
2
3
4
>