4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric Tramel +4
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives…
cs.LG2022★ 1 cited
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding, Eric Tramel, Anit Kumar Sahu +3
Federated learning (FL) has been developed as a promising framework to leverage the resources of edge devices, enhance customers' privacy, comply with regulations, and reduce devel…
cs.CR2021★ 1 cited
Subset Privacy: Draw from an Obfuscated Urn
Ganghua Wang, Jie Ding
With the rapidly increasing ability to collect and analyze personal data, data privacy becomes an emerging concern. In this work, we develop a new statistical notion of local priva…