Synergizing Foundation Models and Federated Learning: A Survey
The recent development of Foundation Models (FMs), represented by large language
models, vision transformers, and multimodal models, has been making a significant impact …
models, vision transformers, and multimodal models, has been making a significant impact …
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation
Y Ma, L Cheng, Y Wang, Z Zhong, X Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated learning (FL) is a popular privacy-preserving paradigm that enables distributed
clients to collaboratively train models with a central server while keeping raw data locally. In …
clients to collaboratively train models with a central server while keeping raw data locally. In …