1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CR2024★ 1 cited
Making Privacy-preserving Federated Graph Analytics with Strong Guarantees Practical (for Certain Queries)
Kunlong Liu, Trinabh Gupta
Privacy-preserving federated graph analytics is an emerging area of research. The goal is to run graph analytics queries over a set of devices that are organized as a graph while k…
cs.CR2023
Federated learning with differential privacy and an untrusted aggregator
Kunlong Liu, Trinabh Gupta
Federated learning for training models over mobile devices is gaining popularity. Current systems for this task exhibit significant trade-offs between model accuracy, privacy guara…