Frugal Splitting Operators: Representation, Minimal Lifting, and Convergence
Martin Morin, Sebastian Banert, Pontus Giselsson

TL;DR
This paper introduces a new framework for frugal splitting operators in monotone inclusion problems, providing a unified convergence analysis and a method to design minimal lifting operators with practical applications.
Contribution
It presents a novel representation of frugal splitting operators via a generalized primal-dual resolvent, enabling convergence analysis and the design of minimal lifting operators.
Findings
Minimal lifting number is n-1-f, achievable with resolvent evaluations.
Unified convergence analysis for cocoercive operators.
Constructive method for designing new frugal splitting operators.
Abstract
We investigate frugal splitting operators for finite sum monotone inclusion problems. These operators utilize exactly one direct or resolvent evaluation of each operator of the sum, and the splitting operator's output is dictated by linear combinations of these evaluations' inputs and outputs. To facilitate analysis, we introduce a novel representation of frugal splitting operators via a generalized primal-dual resolvent. The representation is characterized by an index and four matrices, and we provide conditions on these that ensure equivalence between the classes of frugal splitting operators and generalized primal-dual resolvents. Our representation paves the way for new results regarding lifting numbers and the development of a unified convergence analysis for frugal splitting operator methods, contingent on the directly evaluated operators being cocoercive. The minimal lifting…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Approximation Theory and Sequence Spaces · Optimization and Variational Analysis
