{"id":19066217,"url":"https://github.com/epfml/chocosgd","last_synced_at":"2025-07-23T04:34:27.900Z","repository":{"id":48408063,"uuid":"185221790","full_name":"epfml/ChocoSGD","owner":"epfml","description":"Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356","archived":false,"fork":false,"pushed_at":"2020-09-10T21:44:26.000Z","size":366,"stargazers_count":68,"open_issues_count":1,"forks_count":17,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-04-28T12:41:05.806Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/epfml.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-05-06T15:18:11.000Z","updated_at":"2025-04-01T03:38:43.000Z","dependencies_parsed_at":"2022-09-19T20:46:44.522Z","dependency_job_id":null,"html_url":"https://github.com/epfml/ChocoSGD","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/epfml/ChocoSGD","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epfml%2FChocoSGD","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epfml%2FChocoSGD/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epfml%2FChocoSGD/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epfml%2FChocoSGD/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/epfml","download_url":"https://codeload.github.com/epfml/ChocoSGD/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epfml%2FChocoSGD/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266618843,"owners_count":23957273,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T00:55:29.526Z","updated_at":"2025-07-23T04:34:27.870Z","avatar_url":"https://github.com/epfml.png","language":"Python","readme":"# Choco-SGD\nThis repository provides code for **communication-efficient decentralized ML training** (both deep learning, compatible with [PyTorch](https://pytorch.org/), and traditional convex machine learning models.\n\nWe provide code for the main experiments in the papers \n - [Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication](https://arxiv.org/abs/1902.00340) and \n - [Decentralized Deep Learning with Arbitrary Communication Compression](https://arxiv.org/abs/1907.09356).\n\nPlease refer to the folders `convex_code` and `dl_code` for more details.\n\n\n# References\nIf you use the code, please cite the following papers:\n\n```\n@inproceedings{koloskova2019choco,\n    title = {Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication},\n    author = {Anastasia Koloskova and Sebastian U. Stich and Martin Jaggi},\n    booktitle = {ICML 2019 - Proceedings of the 36th International Conference on Machine Learning},\n    url = {http://proceedings.mlr.press/v97/koloskova19a.html},\n    publisher = {PMLR}, \n    volume = {97},\n    pages = {3479--3487},\n    year = {2019}\n}\n```\nand \n```\n@inproceedings{koloskova2020decentralized,\n  title={Decentralized Deep Learning with Arbitrary Communication Compression},\n  author={Anastasia Koloskova* and Tao Lin* and Sebastian U Stich and Martin Jaggi},\n  booktitle={ICLR 2020 - International Conference on Learning Representations},\n  year={2020},\n  url={https://openreview.net/forum?id=SkgGCkrKvH}\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepfml%2Fchocosgd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepfml%2Fchocosgd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepfml%2Fchocosgd/lists"}