Chao Feng

Competitive-Driven Learning for Image Ordinal Classification

2023

Image ordinal classification (IOC) assigns a discrete yet ordinal scalar label to an input image, such as age estimation. For IOC, it is non-trivial to effectively incorporate the ordinal information of inputs into the classification …

DART: A Solution for Decentralized Federated Learning Model Robustness Analysis

2024 · arXiv (Cornell University)

Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central server …

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning

2025 · Open MIND

Decentralized Federated Learning (DFL) enables collaborative, privacy-preserving model training without relying on a central server. This decentralized approach reduces bottlenecks and eliminates single points of failure, enhancing scalability and resilience. However, DFL also introduces challenges, …