Publications

09-04-2020

Check(it)Out

Fresh Produce Recognition at Point of Sale Trend Spotting Coming back from NRF 2020 we’ve spotted the next big trend…
09-04-2020

Overcoming Forgetting in Federated Learning on Non-IID Data

We tackle the problem of Federated Learning in the non i.i.d. case, in which local models drift apart, inhibiting learning.…
09-04-2020

Overcoming Forgetting in Federated Learning on Non-IID Data

Edgify’s Collaborated Method for Distributed Learning, to be Fully Released at NeurIPS this Year! Overview There is a growing interest…
09-04-2020

Back up Your “We’re a People First Company” Poster with some Actions!

Check Out the Check-in Process. “You don’t build a business — you build people —and then people build the business”.…
09-04-2020

Deep Learning on a Cluster of 100 Edge Devices

On route to replacing the cloud for all AI training. A three part series on setting up your own cluster of…
08-04-2020

If AI isn’t trained on the edge, is it any use?

Recently our Deep Tech pod hosted an evening at Google’s Startups Campus entitled ‘AI on the edge’. We heard from a prize collection of…
08-04-2020

Training AI at the Edge

A Revolution in Privacy Constraints for the World of AI AI everywhere.. Artificial intelligence is one of the most disruptive…
04-11-2019

Distributed training on edge devices: Batch Normalization with Non-IID data

an Edgify Research Team Publication In the first post of this series, we presented two basic approaches to distributed training on edge devices. In…