-
It seems like the xgboost Python package now comes with grpc statically linked in.
This causes a clash in my environment with the `grpcio` Python package:
```
Python 3.10.13 (main, Sep 5 2023, 0…
-
https://buildkite.com/xgboost/xgboost-ci-multi-gpu/builds/5220#018ff0f5-6610-44e5-adac-0b3e9bcf298f/99-444:
```
/workspace/dmlc-core/include/dmlc/logging.h:211: error: "CHECK" redefined [-Werror]
…
hcho3 updated
4 months ago
-
Hi, I have a few question about the experiment. what's difference between 'federated-xgboost-before-update' and 'federated-xgboost-after-update' mentioned in paper experiment part? 'federated-xgboo…
-
Hi team, may you help me check this error?
failed in ReconnectLink [20:28:59] /home/ubuntu/gdu/federated-xgboost/rabit/include/rabit/internal/ssl_socket.h:26: PK - Read/write of file failed
Trac…
-
Hi XGBoost devs,
As you all know XGBoost is widely used in the Fintech community. To comply with stricter regulations, federated learning has become popular in Fintech and other fields recently.
…
-
- [ ] [Release Release 2.0.0 stable · dmlc/xgboost](https://github.com/dmlc/xgboost/releases/tag/v2.0.0)
# Release Release 2.0.0 stable · dmlc/xgboost
## Snippet
We are excited to announce the rele…
-
I love the xgboost distribution package and what it enables, however when dealing with datasets or trees that do not fit into memory one needs to scale the task using a distributed framework like dask…
-
I read your another work "federated xgboost", which stated that it does not support differential privacy. If I implement this work in a distributed system, can it be considered federated？
-
## Motivation
XGBoost 1.7.0 introduced the initial support for Federated Learning. However, only horizontal federated learning is supported. Training samples are assumed to be split horizontally, i.e…
-
Hi Y'all,
This project is really cool, but it should also support decision trees due to their popularity and applications. I would like to contribute a working XGboost implementation.
However, th…