HeteroFL-LoRA is proposed, a federated framework that enables LoRA fine-tuning across heterogeneous LFMs and introduces a Singular Matrix–Guided Subspace Projection that employs singular matrices to achieve cross-subspace mapping, enabling heterogeneous clients to aggregate their LoRA updates in a unified representatio...
Zhuojia Wu, Qi Zhang, Xue-Rong Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Unsupervised person re-identification (USL-ReID) typically relies on clustering to generate pseudo-labels, but significant cross-view appearance variations often cause images of the same identity to be split into different clusters. Training on such noisy pseudo-labels severely degrades the learned representations. The...
Xuan Tan, Qi-Xian Zhang, Ding Qi et al.· IEEE Transactions on Image P...· 0 citations
Unsupervised person re-identification (ReID) aims to learn identity-discriminative representations without manual annotations, which is challenging due to noisy pseudo labels, background clutter, and large appearance variations. Recent studies have shown that exploiting fine-grained local cues is crucial for improving...
Xuan Tan, Ruijian Wei, Qixian Zhang et al.· IEEE Transactions on Image P...· 0 citations
HeteroFL-LoRA is proposed, a federated framework that enables LoRA fine-tuning across heterogeneous LFMs and introduces a Singular Matrix–Guided Subspace Projection that employs singular matrices to achieve cross-subspace mapping, enabling heterogeneous clients to aggregate their LoRA updates in a unified representatio...
Zhuojia Wu, Qi Zhang, Xuerong Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
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