30 citations · 105 across the 12 of their papers we have counts for
4 papers · 1 filter
Performance Trade-Offs in Multi-Processor Approximate Message Passing
Junan Zhu, Ahmad Beirami, Dror Baron
We consider large-scale linear inverse problems in Bayesian settings. Our general approach follows a recent line of work that applies the approximate message passing (AMP) framewor…
Performance Limits for Noisy Multi-Measurement Vector Problems
Junan Zhu, Dror Baron, Florent Krzakala
Compressed sensing (CS) demonstrates that sparse signals can be estimated from under-determined linear systems. Distributed CS (DCS) further reduces the number of measurements by c…
Multi-Processor Approximate Message Passing Using Lossy Compression
Puxiao Han, Junan Zhu, Ruixin Niu +1
In this paper, a communication-efficient multi-processor compressed sensing framework based on the approximate message passing algorithm is proposed. We perform lossy compression o…
Optimal Trade-offs in Multi-Processor Approximate Message Passing
Junan Zhu, Dror Baron, Ahmad Beirami
We consider large-scale linear inverse problems in Bayesian settings. We follow a recent line of work that applies the approximate message passing (AMP) framework to multi-processo…