Sync: Blocking operations. Async: Independant and Non blocking operations. Concurrency: Making progress together. Parallelism: Making progress in parallel. Parallelism implies Concurrency. But ...
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 ...
You're writing a library. You've decided to be ambitious, and support multiple async I/O packages, like Trio, and asyncio, and ... You've written a bunch of clever code to handle all the differences.
From there, you will explore the core tools available for building async applications in Python. You will also learn how to measure the impact of async programming in practical scenarios, profile and ...
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