no code implementations • 5 Apr 2024 • Shanshan Wu, Zheng Xu, Yanxiang Zhang, Yuanbo Zhang, Daniel Ramage
Pre-training on public data is an effective method to improve the performance for federated learning (FL) with differential privacy (DP).
no code implementations • 12 Mar 2024 • Jae Hun Ro, Srinadh Bhojanapalli, Zheng Xu, Yanxiang Zhang, Ananda Theertha Suresh
Cross-device federated learning (FL) is a technique that trains a model on data distributed across typically millions of edge devices without data leaving the devices.
no code implementations • 29 May 2023 • Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang
We train language models (LMs) with federated learning (FL) and differential privacy (DP) in the Google Keyboard (Gboard).
no code implementations • 20 Mar 2023 • Xiaoting Wang, Yanxiang Zhang, Yongzhe Zhang
Spiking neural networks (SNNs), as a biology-inspired method mimicking the spiking nature of brain neurons, is a promising energy-efficient alternative to the traditional artificial neural networks (ANNs).