Developing, testing, and deploying GUI-based AI agents is complex. Developers waste precious time wrestling with cloud instances, VNC servers, and environment configurations instead of focusing on ...
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 ...
Sync: Blocking operations. Async: Independant and Non blocking operations. Concurrency: Making progress together. Parallelism: Making progress in parallel. Parallelism implies Concurrency. But ...
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