Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

Yifeng Zheng, Shangqi Lai, Yi Liu +3

Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features th…