Authors

Qiang Yang

Publications 2

Preprint Open access

Decouple, Purify and Unite: Semantic-Structural Prototype Learning for Federated Medical Segmentation

Federated learning enables medical institutions to train a global model without sharing data, yet feature heterogeneity from diverse scanners or protocols remains challenging. Existing representation-based methods face two limitations: 1) Incomplete Contextual Representation Learning: single-layer or coupled representa …

Preprint Open access

Federated Agent Optimization

Large language model (LLM) agents increasingly operate in private environments and accumulate valuable experience from task execution, tool use, feedback, and local knowledge. Yet such experience is distributed across organizations and cannot be directly shared because of privacy and proprietary constraints. Convention …

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