4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Mingbin Xu, Congzheng Song, Ye Tian +10
Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our…
cs.LG2022★ 4 cited
FLAIR: Federated Learning Annotated Image Repository
Congzheng Song, Filip Granqvist, Kunal Talwar
Cross-device federated learning is an emerging machine learning (ML) paradigm where a large population of devices collectively train an ML model while the data remains on the devic…