# Acknowledgements

We kindly thank (in no particular order)

* [Artem Babenko](https://research.yandex.com/people/102794) and
  [Vladimir Aliev](https://ru.linkedin.com/in/vladimir-aliev-19b93282) for helpful discussions and editorial review of
  the paper,
* [Jacob R. Steeves](https://github.com/unconst) for discussions on RPC frameworks and NAT traversal and peer-to-peer
  technologies.
* [Dmitry Afanasiev](https://www.linkedin.com/in/dmitry-afanasiev-295a231/) for his guidance on networking and
  communication technologies,
* [Lidi Zheng](https://github.com/lidizheng) and grpc-aio contributors for their awesome framework
  and [this PR](https://github.com/grpc/grpc/pull/23265)
* [Brian Muller](https://github.com/bmuller/kademlia) for his implementations
  of [kademlia](https://github.com/bmuller/kademlia) and [rpcudp](https://github.com/bmuller/rpcudp)
* Alexander Sherbakov for helpful discussions on PC and server component architecture,
* [Yandex School of Data Analysis](https://yandexdataschool.com) students, for helping us run first truly collaborative experiments.
* The [Neuropark community](https://neuropark.co/), for hosting early collaborative training experiments of sahajBERT with hivemind.
* Our early adopters, [contributors](https://github.com/learning-at-home/hivemind/graphs/contributors), and conference reviewers.

# Related projects

In this section, we list several organizations and research projects that bring humanity closer to the dream of world-scale deep learning with volunteer computing.
* [Hugging Face](https://huggingface.co) — an AI community with world-leading NLP research that builds collaborative hub training using hivemind. 
* [EYDLE](https://www.eydle.com) — a start-up that works towards distributed deep learning on volunteer hardware using centralized infrastructure.
* [BitTensor](https://github.com/opentensor/BitTensor) — a decentralized deep learning ecosystem with incentive
  mechanism. Each peer trains for its own objective and rewards others for useful features. 
* Also building collaborative deep learning? Let us know! `hivemind-team <at> hotmail.com`