AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Tight Surrogate-Based Adaptive Step Size for the Multiobjective Conditional Gradient Method
It is proved that the proposed step size preserves the descent property of the MCondG method, and has an improved worst-case complexity bound compared with the original adaptive step size strategy.
A Momentum-Based Variance-Reduced Algorithm for Federated Multiobjective Optimization
A momentum-based variance-reduced algorithm for federated multiobjective optimization that incorporates a momentum-driven gradient estimator into the local updates to reduce the variance of stochastic updates, leading to an improved convergence rate.