Rong Ou
77b069c25d
Support bitwise allreduce operations in the communicator ( #8623 )
2022-12-25 06:40:05 +08:00
Rong Ou
a8255ea678
Add an in-memory collective communicator ( #8494 )
2022-12-01 00:24:12 +08:00
Rong Ou
4449e30184
Always link federated proto statically ( #8442 )
2022-11-09 07:47:38 +08:00
Rong Ou
521086d56b
Make federated client more robust ( #8351 )
2022-10-18 13:52:44 +08:00
Rong Ou
8f3dee58be
Speed up tests with federated learning enabled ( #8350 )
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* Speed up tests with federated learning enabled
* Re-enable timeouts
Co-authored-by: Hyunsu Philip Cho <chohyu01@cs.washington.edu>
2022-10-17 15:17:04 -07:00
Philip Hyunsu Cho
2faa744aba
[CI] Test federated learning plugin in the CI ( #8325 )
2022-10-12 13:57:39 -07:00
Rong Ou
39afdac3be
Better error message when world size and rank are set as strings ( #8316 )
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Co-authored-by: jiamingy <jm.yuan@outlook.com>
2022-10-12 15:53:25 +08:00
Rong Ou
8d4038da57
Don't split input data in federated mode ( #8279 )
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Co-authored-by: Hyunsu Philip Cho <chohyu01@cs.washington.edu>
2022-10-05 18:19:28 -08:00
Rong Ou
668b8a0ea4
[Breaking] Switch from rabit to the collective communicator ( #8257 )
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* Switch from rabit to the collective communicator
* fix size_t specialization
* really fix size_t
* try again
* add include
* more include
* fix lint errors
* remove rabit includes
* fix pylint error
* return dict from communicator context
* fix communicator shutdown
* fix dask test
* reset communicator mocklist
* fix distributed tests
* do not save device communicator
* fix jvm gpu tests
* add python test for federated communicator
* Update gputreeshap submodule
Co-authored-by: Hyunsu Philip Cho <chohyu01@cs.washington.edu>
2022-10-05 14:39:01 -08:00
Rong Ou
a2686543a9
Common interface for collective communication ( #8057 )
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* implement broadcast for federated communicator
* implement allreduce
* add communicator factory
* add device adapter
* add device communicator to factory
* add rabit communicator
* add rabit communicator to the factory
* add nccl device communicator
* add synchronize to device communicator
* add back print and getprocessorname
* add python wrapper and c api
* clean up types
* fix non-gpu build
* try to fix ci
* fix std::size_t
* portable string compare ignore case
* c style size_t
* fix lint errors
* cross platform setenv
* fix memory leak
* fix lint errors
* address review feedback
* add python test for rabit communicator
* fix failing gtest
* use json to configure communicators
* fix lint error
* get rid of factories
* fix cpu build
* fix include
* fix python import
* don't export collective.py yet
* skip collective communicator pytest on windows
* add review feedback
* update documentation
* remove mpi communicator type
* fix tests
* shutdown the communicator separately
Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
2022-09-12 15:21:12 -07:00
Rong Ou
d6e2013c5f
Set max message size in insecure gRPC ( #8203 )
2022-08-26 16:33:51 +08:00
Rong Ou
ad3bc0edee
Allow insecure gRPC connections for federated learning ( #8181 )
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* Allow insecure gRPC connections for federated learning
* format
2022-08-19 12:16:14 +08:00
Rong Ou
45dc1f818a
Make federated plugin work with cmake 3.16.3 ( #8029 )
2022-06-27 17:26:41 +08:00
Rong Ou
0725fd6081
fix federated learning plugin ( #8027 )
2022-06-24 08:41:07 +08:00
Rong Ou
e5ec546da5
[Breaking] Remove rabit support for custom reductions and grow_local_histmaker updater ( #7992 )
2022-06-21 15:08:23 +08:00
Rong Ou
31e6902e43
Support GPU training in the NVFlare demo ( #7965 )
2022-06-02 21:52:36 +08:00
Rong Ou
d3429f2ff6
Increase gRPC max receive message size for federated learning ( #7958 )
2022-06-01 13:21:54 +08:00
Rong Ou
af907e2d0d
Demo of federated learning using NVFlare ( #7879 )
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Co-authored-by: jiamingy <jm.yuan@outlook.com>
2022-05-14 22:45:41 +08:00
Rong Ou
14ef38b834
Initial support for federated learning ( #7831 )
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Federated learning plugin for xgboost:
* A gRPC server to aggregate MPI-style requests (allgather, allreduce, broadcast) from federated workers.
* A Rabit engine for the federated environment.
* Integration test to simulate federated learning.
Additional followups are needed to address GPU support, better security, and privacy, etc.
2022-05-05 21:49:22 +08:00
