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update some links #188

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2 changes: 1 addition & 1 deletion docs/api.md
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ often server *i* handles the keys (feature indices) within the i-th

, which is often used to monitor and control the
progress of the machine learning application. It also can be used to deal with node
failures. See an example in [asynchronous SGD](https://github.com/dmlc/wormhole/blob/master/learn/solver/async_sgd.h#L27).
failures. See an example in [asynchronous SGD](https://github.com/dmlc/wormhole/blob/master/learn/linear/async_sgd.h#L27).

```eval_rst
.. automodule:: ps::KVWorker
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2 changes: 1 addition & 1 deletion docs/env.md
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Expand Up @@ -14,4 +14,4 @@ additional variables:
automatically
- `DMLC_LOCAL` : runs in local machines, no network is needed
- `DMLC_PS_WATER_MARK` : limit on the maximum number of outstanding messages
- `DMLC_PS_VAN_TYPE` : the type of the Van for transport, can be `ibverbs` for RDMA, `zmq` for TCP, `p3` for TCP with [priority based parameter propagation](https://anandj.in/wp-content/uploads/sysml.pdf).
- `DMLC_PS_VAN_TYPE` : the type of the Van for transport, can be `ibverbs` for RDMA, `zmq` for TCP, `p3` for TCP with [priority based parameter propagation](https://proceedings.mlsys.org/paper/2019/hash/d09bf41544a3365a46c9077ebb5e35c3-Abstract.html).
2 changes: 1 addition & 1 deletion docs/overview.md
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Expand Up @@ -177,6 +177,6 @@ name some of them
convergence rate with large minibatch size *b*
- [Sra, AISTATS'16](http://arxiv.org/abs/1508.05003) asynchronous SGD adaptive
to the actually delay rather than the worst maximal delay
- [Li, WSDM'16](http://www.cs.cmu.edu/~yuxiangw/docs/fm.pdf) practical
- [Li, WSDM'16](https://sites.cs.ucsb.edu/~yuxiangw/docs/fm.pdf) practical
considerations for asynchronous SGD with the parameter server
- [Chen, LearningSys'16]() synchronized SGD for deep learning.