What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...
The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...
The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.
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