The combination of synchronous and asynchronous communication protocols enables systems to maintain high performance while ...

Traditionally, GANs are trained in centralized data centers, raising data privacy concerns ... resolves the straggler issue in synchronous FL, reduces model staleness in asynchronous FL, and lowers ...

Most api can be used in a synchronous or asynchronous way to feat ... will be used to call all your callbacks. It can be either asynchronous reception of gateway responses or the data you have ...

In synchronous pipelined processors each stage should perform operation in a given lock time irrespective of status of the next or previous stages, whereas in asynchronous pipelined processors, the ...

LLMs enable interactions with external tools and data sources, such as weather APIs or ... While these strategies reduce overhead, the fundamental challenge of synchronous interaction persists.

In this way, users can contribute to the global model without sharing private data. However, traditional federated learning frameworks are inefficient as the server has to wait for multiple users to ...

Asynchronous commit introduces the risk of data loss. There is a short time window between ... The user can select the commit mode of each transaction, so that it is possible to have both synchronous ...

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