380 citations · 628 across the 6 of their papers we have counts for
3 papers · 1 filter
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
Wireless sensor networks (WSNs) have attracted considerable attention in recent years and motivate a host of new challenges for distributed signal processing. The problem of distri…
Distributed Learning in Wireless Sensor Networks
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
The problem of distributed or decentralized detection and estimation in applications such as wireless sensor networks has often been considered in the framework of parametric model…
Consistency in Models for Distributed Learning under Communication Constraints
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
Motivated by sensor networks and other distributed settings, several models for distributed learning are presented. The models differ from classical works in statistical pattern re…