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domain	pluralis.ai
summary	The website focuses on advancements in training machine learning models across multiple parties, particularly addressing the challenges posed by slow network connections. Key areas of exploration include: * Pluralis: A multi-party training stack. * Asynchronous Pipeline Parallelism: Utilizing asynchronous pipelines for parallel training. * SWARM Parallel with Asynchronous Updates: Leveraging SWARM parallelism with asynchronous updates. * Efficient Asynchronous Low-Bandwidth Training: Techniques for training on heterogeneous GPUs with limited bandwidth. * Protocol Learning: Investigating protocol learning and model convergence in decentralized training. The core issue addressed is the impact of communication lag on decentralized training, which significantly slows down the process, with the effect being more severe in decentralized setups.
title	Pluralis Research
description	Pluralis Research works on Protocol Learning — decentralized, communication-efficient model-parallel training for foundation models.
keywords	training, models, protocol, parallelism, learning, model, pipeline, research, parallel, participant, communication, over, bandwidth, networks, devices, context, convergence
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nslookup	A 185.199.110.153, A 185.199.111.153, A 185.199.108.153, A 185.199.109.153
created	2026-02-15
updated	2026-02-15
summarized	2026-02-15