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Showing papers from Nanyang Technological University (NTU) Show all papers

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NeurIPS 2026ShandongNational University of SingaporeNanyang Technological UniversityNanyang TechnologicalFederated learning

Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning

Jingjing Zhu, Zhuang Qi, Lei Meng, Han Yu and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Nanyang TechnologicalNational University of SingaporeNanjing University of Posts and Nanyang Technological UniversitySouth China University of TechnoFederated learning

Distributionally Robust Black Box Optimization-based Bidding Strategy in Auction-based Federated Learning

Xiaoli Tang, Zhuang Qi, Ying-Peng Tang, Xianjie Guo and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangNanyang TechnologicalKTH Royal Institute of TechnologNanyang Technological UniversityA*STARTime series foundation models

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation

PrismFlow uses Koopman-inspired dynamical experts with a confidence-aware winner-take-all objective to learn residual flow corrections that recover fine-grained temporal dynamics and mitigate spectral contraction in flow matching.

ZHANG JUNRU, Lang Feng, Jinbo Wang, Xu Guo and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
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medium 8/10
strict 1/5