Likun Zhang

A Framework to Preserve User Privacy for Machine Learning as a Service

2020

Suffered from the contradiction between the limited capacity of local devices and large size of DNN models, a practical solution is transferring the heavy computational tasks from the local to the server side such as …

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation

2024 · arXiv (Cornell University)

In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model performance. Effective contribution assessment can …