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Mengmeng Chen

2 accepted papers

2025

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning

ICML 2025poster

Multi-objective optimization (MOO) exists extensively in machine learning, and aims to find a set of Pareto-optimal solutions, called the Pareto front, e.g., it is fundamental for multiple avenues of research in federated learning (FL). Pareto-Front Learning (PFL) is a powerful method implemented us…

2024

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning

NeurIPS 2024poster

Federated learning (FL) is a machine learning paradigm that allows multiple FL participants (FL-PTs) to collaborate on training models without sharing private data. Due to data heterogeneity, negative transfer may occur in the FL training process. This necessitates FL-PT selection based on their dat…

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