SOTAVerified

Distributed Optimization

The goal of Distributed Optimization is to optimize a certain objective defined over millions of billions of data that is distributed over many machines by utilizing the computational power of these machines.

Source: Analysis of Distributed StochasticDual Coordinate Ascent

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 471–480 of 536 papers

TitleStatusHype
A Differential Private Method for Distributed Optimization in Directed Networks via State Decomposition—0
A Distributed ADMM-based Deep Learning Approach for Thermal Control in Multi-Zone Buildings under Demand Response Events—0
A Distributed Second-Order Algorithm You Can Trust—0
ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems—0
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks—0
Advances in Asynchronous Parallel and Distributed Optimization—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
AIDE: Fast and Communication Efficient Distributed Optimization—0
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information—0
Show:102550
← PrevPage 48 of 54Next →

No leaderboard results yet.