Vision–language alignment, federated learning, parameter‑efficient AI
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Research centers on multimodal alignment and retrieval, personalized federated fine‑tuning, and parameter‑efficient adaptation that balances accuracy and compute. Builds interpretable query optimization and layer‑aware aggregation for scalable deployment across heterogeneous models, clients, and devices.
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