Zeqi Leng

2 accepted papers

2026

LEGO-FL: Learning Heterogeneous Federated Models as a LEGO Assembly Games

Zeqi Leng, Chunxu Zhang, Guodong Long, Bo Yang

ICML 2026poster

Just as LEGO pieces can be assembled into an unlimited variety of structures, heterogeneous federated learning (HFL) can be viewed as the assembly of diverse model components. Inspired by this analogy, we reformulate HFL as a LEGO-like assembly game. The central challenge in HFL lies in learning acr…

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2025

Distilling A Universal Expert from Clustered Federated Learning

Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang

IJCAI 2025

Clustered Federated Learning (CFL) addresses the challenges posed by non-IID data by training multiple group- or cluster-specific expert models. However, existing methods often overlook the shared information across clusters, which represents the generalizable knowledge valuable to all participants

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