Abstract: Traditional end-to-end (E2E) training of deep networks necessitates storing intermediate activations for back-propagation, resulting in a large memory footprint on GPUs and restricted model ...
Create no-cost infographics in NotebookLM, customizing language, orientation, style, and brand colors, so your summaries are ...
Abstract: In light of the emergence of privacy breaches in federated learning, secure aggregation protocols, which mainly adopt either homomorphic encryption or threshold secret sharing techniques, ...
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