Federated Reconstruction for Matrix Factorization (Building recommendation systems with TensorFlow)

Looking to train models for on-device inference without gathering any sensitive user data? Developer Advocate Wei Wei talks about Federated Reconstruction for matrix factorization, a novel technique for building recommendation systems using TensorFlow Federated (TFF). Follow along as he takes you through a cross-device federated learning example.

Resources:
Federated learning video→ https://goo.gle/3qttKIM

TensorFlow Federated → https://goo.gle/3twlycG

Collaborative learning video → https://goo.gle/37Wd0DB

Federated Reconstruction for Matrix Factorization → https://goo.gle/3wwBRYP

A Scalable Approach for Partially Local Federated Learning → https://goo.gle/3wukl7o

Federated Reconstruction …

building factorization recommendation recommendation systems systems tensorflow