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Found 4 papers, 2 papers with code
Harmonizing Generalization and Personalization in Federated Prompt Learning
Federated Prompt Learning (FPL) incorporates large pre-trained Vision-Language models (VLM) into federated learning through prompt tuning.
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Specifically, for each client, we learn a global prompt to extract consensus knowledge among clients, and a local prompt to capture client-specific category characteristics.
FedTP: Federated Learning by Transformer Personalization
Instead of using a vanilla personalization mechanism that maintains personalized self-attention layers of each client locally, we develop a learn-to-personalize mechanism to further encourage the cooperation among clients and to increase the scablability and generalization of FedTP.
Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions
Permeability has a dominant influence on the flow properties of a natural fluid.
