Extend the convergence analysis to active gradient clipping

Extend the convergence analysis of the Throttle algorithm for Byzantine-robust asynchronous stochastic gradient descent to the regime in which the clipping threshold is smaller than the uniform stochastic-gradient bound and therefore clips honest gradients, as in the experiments with clipping threshold \(\lambda_t=1\).

Background

The main convergence theorem analyzes Throttle under the choice λt=G\lambda_t=G, where the bounded-gradient assumption ensures that clipping acts as the identity on honest gradients. The experiments instead use a smaller threshold, λt=1\lambda_t=1, for which clipping is typically active. The paper explicitly identifies extending the theoretical analysis to this experimentally relevant clipping regime as unresolved.

References

In our experiments, we use a smaller threshold ($\lambda_t = 1$), for which clipping is typically active. Extending the analysis to this regime is left for future work.

— Robustifying Asynchronous SGD via Soft Throttling  (2609.39357 - Otsuka et al., 30 Sep 2026) in Footnote to Theorem 1 (Non-convex convergence rate), Section 4, Theoretical Analysis