5 papers
A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
Chenyang Qiu, Mihitha Maithripala, Zongli Lin
This paper studies a stochastic algorithm for linearly constrained nonconvex optimization, where the objective function is smooth but only unbiased stochastic gradients with bounde…
Dynamic Average Consensus with Privacy Guarantees and Its Application to Battery Energy Storage Systems
Mihitha Maithripala, Chenyang Qiu, Zongli Lin
A privacy-preserving dynamic average consensus (DAC) algorithm is proposed that achieves consensus while preventing external eavesdroppers from inferring the reference signals and…
An Accelerated Distributed Optimization with Equality and Inequality Coupling Constraints
Chenyang Qiu, Yangyang Qian, Zongli Lin +1
This paper studies distributed convex optimization with both affine equality and nonlinear inequality couplings through the duality analysis. We first formulate the dual of the cou…
A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
Chenyang Qiu, Zongli Lin
This paper studies a class of distributed optimization problems with coupled equality constraints in networked systems. Many existing distributed algorithms rely on solving local s…
Non-Ergodic Convergence Algorithms for Distributed Consensus and Coupling-Constrained Optimization
Chenyang Qiu, Zongli Lin
We study distributed convex optimization with two ubiquitous forms of coupling: consensus constraints and global affine equalities. We first design a linearized method of multiplie…