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# Pisces | ||
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This repository contains the evvaluation artifacts of our SoCC'22 paper | ||
[Efficient Federated Learning via Guided Asynchronous Training](http://home.cse.ust.hk/~zjiangaj/files/pisces-socc22.pdf). | ||
This repository contains the evaluation artifacts of our SoCC'22 paper | ||
[Efficient Federated Learning via Guided Asynchronous Training](https://dl.acm.org/doi/10.1145/3542929.3563463). | ||
It is implemented by extending an early version of [Plato](https://github.com/TL-System/plato), a new scalable federated learning research framework. | ||
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## 1. Overview | ||
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## 3. Running Experiments | ||
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### 1. Configuring Tasks | ||
### 3.1 Configuring Tasks | ||
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In the folder `[project folder]/experiments/exp_config_examples`, | ||
you can find the configuration files for running the experiments | ||
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by customizing the configuration files. | ||
The above-mentioned examples can serve as templates for you. | ||
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### 2. Running a Particular Task | ||
### 3.2 Running a Particular Task | ||
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Once you have prepared a legitimate configuration file for a task, | ||
you can put it in your created experiment folder and then use | ||
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```bibtex | ||
@inproceedings{pisces-socc22, | ||
author={Jiang, Zhifeng and Wang, Wei and Li, Baochun and Li, Bo}, | ||
title={Pisces: Efficient Federated Learning via Guided Asynchronous Training}, | ||
author={Zhifeng Jiang and Wei Wang and Baochun Li and Bo Li}, | ||
booktitle={ACM Symposium on Cloud Computing (SoCC)}, | ||
year={2022} | ||
year={2022}, | ||
isbn={9781450394147}, | ||
publisher={Association for Computing Machinery}, | ||
booktitle={Proceedings of the 13th Symposium on Cloud Computing}, | ||
url={https://doi.org/10.1145/3542929.3563463}, | ||
doi={10.1145/3542929.3563463}, | ||
pages={370–385}, | ||
} | ||
``` | ||
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## Contact | ||
Zhifeng Jiang ([email protected]). | ||
Zhifeng Jiang ([email protected]). |