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