Generalization of Moreau's identity to resolvents of any set-valued mapping, enabling Gabay duality and convergence analysis for nonmonotone inclusions via DR and ADMM.
CVXPY: A Python-embedded modeling language for convex optimization.Journal of Machine Learning Research, 17(83):1–5, 2016
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FedUCA formalizes the server as an optimizer that uses utility-constrained stochastic aggregation to maximize client retention and global performance in heterogeneous federated learning.
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Resolvent Moreau identities without monotonicity: theory and applications to Gabay duality, Douglas--Rachford and ADMM
Generalization of Moreau's identity to resolvents of any set-valued mapping, enabling Gabay duality and convergence analysis for nonmonotone inclusions via DR and ADMM.
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Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
FedUCA formalizes the server as an optimizer that uses utility-constrained stochastic aggregation to maximize client retention and global performance in heterogeneous federated learning.