2 papers
cs.LG2026
Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning
Youngjoon Lee, Hyukjoon Lee, Seungrok Jung +4
Federated Learning (FL) facilitates decentralized collaborative learning without transmitting raw data. However, reliance on fixed global rounds or validation data for hyperparamet…
math.OC2019
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization
Seonho Park, Seung Hyun Jung, Panos M. Pardalos
We focus on minimizing nonconvex finite-sum functions that typically arise in machine learning problems. In an attempt to solve this problem, the adaptive cubic regularized Newton…