5 papers
Communication-Constrained Private Decentralized Online Personalized Mean Estimation
Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes +1
We consider the problem of communication-constrained collaborative personalized mean estimation under a privacy constraint in an environment of several agents continuously receivin…
Differentially-Private Decentralized Learning in Heterogeneous Multicast Networks
Amir Ziaeddini, Yauhen Yakimenka, Jörg Kliewer
We propose a power-controlled differentially private decentralized learning algorithm designed for a set of clients aiming to collaboratively train a common learning model. The net…
Minimax Data Sanitization with Distortion Constraint and Adversarial Inference
Amirarsalan Moatazedian, Yauhen Yakimenka, Rémi A. Chou +1
We study a privacy-preserving data-sharing setting where a privatizer transforms private data into a sanitized version observed by an authorized reconstructor and two unauthorized…
Context-Aware Search and Retrieval Over Erasure Channels
Sara Ghasvarianjahromi, Yauhen Yakimenka, Jörg Kliewer
This paper introduces and analyzes a search and retrieval model that adopts key semantic communication principles from retrieval-augmented generation. We specifically present an in…
Differentially-Private Collaborative Online Personalized Mean Estimation
Yauhen Yakimenka, Chung-Wei Weng, Hsuan-Yin Lin +2
We consider the problem of collaborative personalized mean estimation under a privacy constraint in an environment of several agents continuously receiving data according to arbitr…