1. FedPETuning: When federated learning meets the parameter-efficient tuning methods of pre-trained language models;Zhang,2023
2. Pushing large language models to the 6g edge: Vision, challenges, and opportunities;Lin,2023
3. Evaluating gradient inversion attacks and defenses in federated learning;Huang;Adv. Neural Inf. Process. Syst.,2021
4. Scaling federated learning for fine-tuning of large language models;Hilmkil,2021
5. Scaling language model size in cross-device federated learning;Ro,2022