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Book Open access Aug 2026

A Black Box Optimization-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Auction-based Federated Learning (AFL) has emerged as a robust paradigm for incentivizing Data Owners (DOs) to contribute their private resources to a global model. However, determining optimal bidding strategies for Data Consumers (DCs) remains a fundamental challenge. Existing approaches typically rely on Reinforceme...

Xiao-Li Tang, Haoran Shi, Han Yu et al. · 0 citations
Book Open access Aug 2026

G²PRO: Gradient-guided Graph Prompt Optimization for LLM-based POI Recommendation

Large Language Models (LLMs) have shown strong potential for sequential reasoning, creating new opportunities for next Point-of-Interest (POI) recommendation. However, applying LLMs to POI prediction remains challenging due to the modality gap between textual semantics and continuous spatio-temporal signals. Existing r...

Nan Jiang, Haitao Yuan, Tian-Jun Wei et al. · 0 citations

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