PhD student, Nanjing University of Science and Technology
1 paper at NeurIPS 2025
FedMGP introduces a multi-group text-visual prompt paradigm for federated learning that effectively balances personalization and generalization , achieving state-of-the-art performance with minimal communication parameters.
