A literature survey that introduces a taxonomy for computational and communication efficiency in federated learning with foundation models and discusses PEFT, framework readiness, and open research questions.
Fedprompt: Communication-efficient and privacy preserving prompt tuning in federated learning
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A Survey on Efficient Federated Learning Methods for Foundation Model Training
A literature survey that introduces a taxonomy for computational and communication efficiency in federated learning with foundation models and discusses PEFT, framework readiness, and open research questions.