Barrel files are convenient, but they often come with trade-offs including: Performance and memory: they artificially inflate the module graph and slow down startup times, HMR, and CI pipelines.
Abstract: In Federated Learning (FL) systems, clients share updates derived from their local data with the server while maintaining privacy. The server aggregates these updates to refine the global ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results