Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
cs.LG
Submitted: 2024-07-23
Updated: 2026-09-20
Comments: Accepted by NeurIPS 2025
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Federated Learning with Personalization Layers
- Efficient Personalized Federated Learning via Sparse Model-Adaptation
- The Power of Scale for Parameter-Efficient Prompt Tuning
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
- Think Locally, Act Globally: Federated Learning with Local and Global Representations
- P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
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