<p>There is no information about any particular prediction model in your request, therefore, I think you should look through the paper <a href="http://www.springerlink.com/content/643q4813227844n3/" rel="nofollow">"PLDA: Parallel Latent Dirichlet Allocation for Large-scale Applications"</a> (2009) of Google researchers. See also their <a href="http://code.google.com/p/plda/" rel="nofollow">project on Google Code</a>.</p>

<p>Besides, <a href="http://code.google.com/apis/predict/" rel="nofollow">Google Prediction API</a> project might be valuable resource related to the topic, too.</p>

CC BY-SA 2.5
2010-11-28T14:33:25.607Z
2010-11-28T14:51:37.917Z
2010-11-28T14:51:37.917Z
Nikita Zhiltsov
<p>Is there any current, ongoing, research being performed, looking specifically at implementing prediction models on a distributed system? I'm specifically interested in work where the underlying system can be modeled as a network of devices that has significant churn in terms of connections between the nodes, and nodes joining/leaving the network (for example, a peer-to-peer network).</p>

<reference-request><dc.distributed-comp>
Is anyone actively researching distributed prediction models?
blueberryfields
# Is anyone actively researching distributed prediction models?

(Asked by: username_0 on 2010-11-27)

Is there any current, ongoing, research being performed, looking specifically at implementing prediction models on a distributed system? I'm specifically interested in work where the underlying system can be modeled as a network of devices that has significant churn in terms of connections between the nodes, and nodes joining/leaving the network (for example, a peer-to-peer network).

**Tags:** reference-request, dc.distributed-comp


---

## 1 answers

### Answer by username_1 on 2010-11-28. Score: 2 | Accepted answer

There is no information about any particular prediction model in your request, therefore, I think you should look through the paper ["PLDA: Parallel Latent Dirichlet Allocation for Large-scale Applications"](http://www.springerlink.com/content/643q4813227844n3/) (2009) of Google researchers. See also their [project on Google Code](http://code.google.com/p/plda/).

Besides, [Google Prediction API](http://code.google.com/apis/predict/) project might be valuable resource related to the topic, too.


---

