Abstract: Federated learning is an emerging privacy-preserving distributed learning paradigm, in which many clients collaboratively train a shared global model under the orchestration of a remote ...
Attribute skew in federated learning leads local models to focus on learning non-causal associations, guiding them towards inconsistent optimization directions, which inevitably results in performance ...
Ice. Crystal. Glass. Speed. No matter the name, methamphetamine is making a comeback across the U.S. and western Washington, the DEA reported, and experts warn that today’s meth is more potent and ...
ABSTRACT: Background: Post-spinal hypotension remains the most formidable complication of spinal anesthesia for cesarean delivery, occurring in 70% - 80% of cases and compromising maternal-fetal ...
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