activity
20182024
most citedGenerative Adversarial User Privacy in Lossy Single-Server Information Retrieval

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

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…

cs.LG2022

Straggler-Resilient Differentially-Private Decentralized Learning

Yauhen Yakimenka, Chung-Wei Weng, Hsuan-Yin Lin +2

We consider the straggler problem in decentralized learning over a logical ring while preserving user data privacy. Especially, we extend the recently proposed framework of differe…

cs.LG2020★ 3 cited

Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval

Chung-Wei Weng, Yauhen Yakimenka, Hsuan-Yin Lin +2

We propose to extend the concept of private information retrieval by allowing for distortion in the retrieval process and relaxing the perfect privacy requirement at the same time.…

cs.NI2018

SDN - Architectural Enabler for Reliable Communication over Millimeter-Wave 5G Networks

Biswa P. S. Sahoo, Chung-Wei Weng, Hung-Yu Wei

Millimeter-wave (mmWave) frequency bands offer a new frontier for next-generation wireless networks, popularly known as 5G, to enable multi-gigabit communication; however, the avai…

cs.NI2018★ 1 cited

Enabling Millimeter-Wave 5G Networks for Massive IoT Applications

Biswa P. S. Sahoo, Ching-Chun Chou, Chung-Wei Weng +1

Internet of Things is one of the most promising technology of the fifth-generation (5G) mobile broadband systems. Data-driven wireless services of 5G systems require unprecedented…