Showing 2026 · math.OCShow all
2 papers · 2 filters
math.OC2026
Communication-Efficient Differentially Private Gradient Tracking for Distributed Optimization via Local Updates
Mihitha Maithripala, Chenyang Qiu, Zongli Lin
This paper studies privacy-preserving distributed optimization using gradient tracking with one communication-free local update between consecutive communication rounds. Since loca…
math.OC2026
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…