4 papers · 1 filter
Iterative Data-Consistent Inversion with Multiple Push-forward Constraints
Tianyi Jiang, Troy Butler, Timothy Wildey +2
A foundational challenge in uncertainty quantification involves estimating a probability measure on the space of uncertain parameters such that its push-forward through a computati…
Unified Communication Compression Beyond Global Error Bounds for Distributed Nonconvex Optimization
Haonan Wang, Minghui Liwang, Yiguang Hong +2
In this paper, we propose a unified compression algorithm for distributed nonconvex opitmization with both the locally- and globally-bounded communication compressors, including 1-…
Heterogeneous Distributed Zeroth-Order Nonconvex Optimization with Communication Compression
Haonan Wang, Xinlei Yi, Yiguang Hong +1
Distributed zeroth-order optimization is increasingly applied in heterogeneous scenarios where agents possess distinct data distributions and objectives. This heterogeneity poses f…
Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
Haonan Wang, Xinlei Yi, Yiguang Hong
This paper studies the stochastic distributed nonconvex optimization problem over a network of agents, where agents only access stochastic zeroth-order information about their loca…