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New algorithm 'Throttle' enhances asynchronous SGD robustness

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new algorithm called Throttle, which is a Byzantine-robust generalization of asynchronous SGD. This method exponentially down-weights updates from faster clients, a factor that can improve performance even in non-attack scenarios. Theoretical analysis and empirical validation demonstrate Throttle's convergence rate and robustness to attacks. AI

IMPACT Introduces a novel algorithm that could improve the efficiency and security of distributed machine learning training.

RANK_REASON The cluster contains a research paper detailing a new algorithm for machine learning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New algorithm 'Throttle' enhances asynchronous SGD robustness

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The cluster contains a research paper detailing a new algorithm for machine learning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Kaoru Otsuka, Maxime Meyer, Yuki Takezawa, Makoto Yamada, Anastasia Koloskova ·

    Robustifying Asynchronous SGD via Soft Throttling

    arXiv:2609.39357v1 Announce Type: new Abstract: Asynchronous SGD is a popular algorithm for distributed learning where each client's gradient update is applied on arrival. This leads to a speed-up, but also an increased vulnerability to attacks, as fast clients can dominate the t…

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