Minwoo Jang
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126
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ML×1AI×1Distributed×1
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2026
Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
The paper proposes FedVPA-GP, a federated learning framework that uses a Gumbel-Softmax prior and orthogonal loss to personalize LLM alignment by disentangling conflicting user preferences while maintaining data privacy.
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