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cs.LG2026
Predicting Block-Coordinate Performance via Cross-Curvature
Shengkun Zhu, Jinshan Zeng, Zhiqiang Kou +2
Simultaneous and sequential block updates are two basic optimization strategies used across machine learning, such as neural-network training, federated learning, and low-rank adap…
cs.LG2026
Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients
Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5
Federated learning of foundation models faces a fundamental resource-asymmetry challenge: the institutions holding the most valuable domain-specific data cannot host billion-parame…