TY
TaeHo Yoon
math.OCcs.LGstat.ML
On Valency
published · living versionsW_cw3au2qm·v1 · currentpublished
Compressed Per-Player Local Methods for Multiplayer Federated Learning: Exact Convergence via Increment Sharing
with Bhavika Balani, Nicolas Loizou
1 version
Preprints & journals
8 papers in the corpus · 2025–2026Peppy: An AI-Assisted Workflow for Tight Convergence Analysis of Optimization Algorithms2609.35762v1 · Jaewook J. Suh, TaeHo Yoon, Edward Duc Hien Nguyen et al.2026 · 0 citationsarXiv
Dual-Anchor Acceleration Is Near-Optimal for Stochastic Monotone Root-Finding2609.36033v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
Polyak-Type Extragradient Methods for Monotone Root-Finding Problems2609.26581v1 · TaeHo Yoon, Sayantan Choudhury, Ezra Greenberg et al.2026 · 0 citationsarXiv
Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization2608.12043v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities2608.06182v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
Toward a Systematic Understanding and Interactive Search of Lyapunov-Style Proofs in Optimization2606.26077v1 · TaeHo Yoon, Jaewook J. Suh, Edward Duc Hien Nguyen et al.2026 · 0 citationsarXiv
A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms2605.02231v2 · TaeHo Yoon, Benjamin Grimmer2026 · 0 citationsarXiv
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication2501.08263v2 · TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou2025 · 0 citationsarXiv
Career total: 9 works. 8 are in this corpus.
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