37 citations · 88 across the 3 of their papers we have counts for
3 papers
Distributed Kernel Regression: An Algorithm for Training Collaboratively
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
This paper addresses the problem of distributed learning under communication constraints, motivated by distributed signal processing in wireless sensor networks and data mining wit…
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…
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…