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Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
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Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
The development and application of federated machine learning are facing the critical challenges about how to balance the tradeoff among…
IEEE P3142
Recommended Practice on Distributed Training and Inference for Large-scale Deep Learning Models
This recommended practice specifies principles, approaches, and key performance indicators for distributed training and inference of large-scale deep learning models.…
New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…
This guide provides data contribution measurement methods for federated machine learning. The document provides guidance with respect to data trading…
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