Sebastian O. Jordan

2 accepted papers

2024

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

Sebastian O. Jordan, Qiongxiu Li, Richard Heusdens

ICASSP 2024accepted

Privacy-preserving distributed processing has received considerable attention recently. The main purpose of these algorithms is to solve certain signal processing tasks over a network in a decentralised fashion without revealing private/secret data to the outside world. Because of the iterative natu…

Cited by 0 Source ↗Scholar ↗

2023

Convergence of Stochastic PDMM

Sebastian O. Jordan, Thomas W. Sherson, Richard Heusdens

ICASSP 2023accepted

In recent years, the large increase in connected devices and the data that are collected by these devices have caused a heightened interest in distributed processing. Many practical distributed networks are of heterogeneous nature, because different devices in the network can have different specific…

Cited by 0 Source ↗Scholar ↗