Tootfinder

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape
Jakub Kry\'s, Yashvardhan Sharma, Janet Egan
https://arxiv.org/abs/2507.07765

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape
Advances in low-communication training algorithms are enabling a shift from centralised model training to compute setups that are either distributed across multiple clusters or decentralised via community-driven contributions. This paper distinguishes these two scenarios - distributed and decentralised training - which are little understood and often conflated in policy discourse. We discuss how they could impact technical AI governance through an increased risk of compute structuring, capabili…