{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/scaling-distributed-machine-learning-with-in","title":"Scaling Distributed Machine Learning with In-Network Aggregation","arxiv_id":"1903.06701","date":"2019-02-22","proceeding":null,"authors":["Amedeo Sapio","Marco Canini","Chen-Yu Ho","Jacob Nelson","Panos Kalnis","Changhoon Kim","Arvind Krishnamurthy","Masoud Moshref","Dan R. K. Ports","Peter Richtárik"],"abstract":"Training machine learning models in parallel is an increasingly important workload. We accelerate distributed parallel training by designing a communication primitive that uses a programmable switch dataplane to execute a key step of the training process. Our approach, SwitchML, reduces the volume of exchanged data by aggregating the model updates from multiple workers in the network. We co-design the switch processing with the end-host protocols and ML frameworks to provide an efficient solution that speeds up training by up to 5.5$\\times$ for a number of real-world benchmark models.","url_abs":"https://arxiv.org/abs/1903.06701v2","url_pdf":"https://arxiv.org/pdf/1903.06701v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"scaling-distributed-machine-learning-with-in","repo_url":"https://github.com/IETF-Hackathon/p4-ipv6-switch-ml","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"scaling-distributed-machine-learning-with-in","repo_url":"https://github.com/hesingh/p4-ipv6-switch-ml","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1903.06701","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}