Liekang Zeng

Chained-DP: Can We Recycle Privacy Budget?

2023

Privacy-preserving vector mean estimation is a crucial primitive in federated analytics. Existing practices usually resort to Local Differentiated Privacy (LDP) mechanisms that inject random noise into users' vectors when communicating with users and the central …

FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading

2024 · arXiv (Cornell University)

Federated Learning (FL) has emerged as a fundamental learning paradigm to harness massive data scattered at geo-distributed edge devices in a privacy-preserving way. Given the heterogeneous deployment of edge devices, however, their data are usually …

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence

2024 · arXiv (Cornell University)

Recent years have witnessed a thriving growth of computing facilities connected at the network edge, cultivating edge networks as a fundamental infrastructure for supporting miscellaneous intelligent services.Meanwhile, Artificial Intelligence (AI) frontiers have extrapolated to the …