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Zhuoya Gu

2 accepted papers

2026

Harmonizing Federated Heterogeneous Optimization via Adaptive Objective Rectification

IJCAI 2026

Federated optimization under data heterogeneity presents a significant challenge, often leading to suboptimal model performance. While numerous methods aim to replicate the ideal performance of centralized training, they frequently fall short in highly heterogeneous settings. In this paper, we intro

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