A review that sorts recent federated-learning PEFT approaches into additive, selective, and reparameterized (LoRA-style) families and maps them onto NLP and vision applications.
Advances in Neural Information Processing Systems 37, 30590–30623 (2024)
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A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
A review that sorts recent federated-learning PEFT approaches into additive, selective, and reparameterized (LoRA-style) families and maps them onto NLP and vision applications.