Guanghui Wang

collaborators

3 papers

stat.ML2026

FedReLa: Imbalanced Federated Learning via Re-Labeling

Guangzheng Hu, Patricia MenÃ©ndez, Feng Liu +3

Federated learning has emerged as the foremost approach for decentralized model training with privacy preservation. The global class imbalance and cross-client data heterogeneity n…

cs.LG2026

Faster Rates For Federated Variational Inequalities

Guanghui Wang, Satyen Kale

In this paper, we study federated optimization for solving stochastic variational inequalities (VIs), a problem that has attracted growing attention in recent years. Despite substa…

cs.GT2026

Last-iterate Convergence for Symmetric, General-sum, $2 \times 2$ Games Under The Exponential Weights Dynamic

Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan +2

We conduct a comprehensive analysis of the discrete-time exponential-weights dynamic with a constant step size on all general-sum and symmetric $2 \times 2$ normal-form games, i.e.…

FedReLa: Imbalanced Federated Learning via Re-Labeling

Faster Rates For Federated Variational Inequalities

Last-iterate Convergence for Symmetric, General-sum, 2×2 Games Under The Exponential Weights Dynamic

Last-iterate Convergence for Symmetric, General-sum, $2 \times 2$ Games Under The Exponential Weights Dynamic