In federated remote sensing, LoRA tuning of a frozen CLIP model achieves the best accuracy-to-communication trade-off, while full fine-tuning causes severe catastrophic forgetting of pretrained knowledge.
PromptFL: Let federated participants cooperatively learn prompts instead of models–federated learning in age of foundation model,
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On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing
In federated remote sensing, LoRA tuning of a frozen CLIP model achieves the best accuracy-to-communication trade-off, while full fine-tuning causes severe catastrophic forgetting of pretrained knowledge.