Algorithms

Purpose

This project focuses on novel training algorithms designed to operate without centralized infrastructure or excessive memory requirements.

The aim is to enable meaningful participation in AI training using heterogeneous, distributed hardware.

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See also

• Architecture Overview
• Distributed Architecture
• Models
• Protocol

Design Goals

• Memory efficiency
• Hardware agnosticism
• Fault tolerance
• Composability with distributed systems

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Research Directions

• Streaming and online learning
• Partial-parameter and sharded optimization
• Asynchronous and decentralized updates
• Sparse and modular architectures
• Alternatives to large-batch backpropagation

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Repositories

• algorithms-core
• algorithms-research
• algorithms-benchmarks

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Status

This area is research-driven and experimental.