Mengzhu Wang

OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement

2024 · arXiv (Cornell University)

Decentralized Federated Learning (DFL) surpasses Centralized Federated Learning (CFL) in terms of faster training, privacy preservation, and light communication, making it a promising alternative in the field of federated learning. However, DFL still exhibits significant …

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization

2025 · IEEE Transactions on Circuits and Systems for Video Technology

The goal of single domain generalization is to use data from a single domain (source domain) to train a model, which is then deployed over several unknown domains for testing (target domains). This study introduces …