Pushing the Limits of Network Efficiency for…

Pushing the Limits of Network Efficiency for…

A challenging problem for the machine-learning community is how to leverage data generated at the edge to build better models. As individuals, we produce plenty of valuable data — both through institutions (medical or financial, for example) and via personal devices. This data could be harnessed …Read More


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