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Zhuang Qi

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Sep 2026

Robust Bidding Strategies under Censored Feedback for Auction-Based Federated Learning.

Auction-based Federated Learning (AFL) provides a principled framework for incentivizing self-interested data owners (DOs) to participate in collaborative learning initiated by data consumers (DCs) through market mechanisms. A central challenge in AFL is to determine how a budget-constrained DC should bid for data-use...

Xiao-Li Tang, Ying-Peng Tang, Zhuang Qi et al. · 0 citations

Seeing Through the Shift: Causality-Inspired Robust Generalized Category Discovery

This work proposes CausalGCD, a causality-inspired framework designed to mitigate domain-shift bias in category discovery and proposes a Causal Geometric Manifold Constraint that enforces invariant manifold-level associations between known and unknown categories across domains, thereby facilitating robust discovery of...

Wei Feng, Yi-Wen Jiang, Sijin Zhou et al. · 1 citation

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