*PAID EVENT!* Tickets here: https://nyai26.splashthat.com/

Join us for what's sure to be an awesome night in AI! This month's event is focused on Federated Learning: Machine Learning on Edge Devices.

Wine + Beer + Food + Desserts + AI + Networking = The Best Tuesday ever!

ABSTRACT:
Federated learning enables us to build machine learning models using data collected by edge devices like smartphones & IoT devices, without moving data off the device. This minimizes concerns about privacy, data regulation, bandwidth, & storage, while providing similar results as centralized models. Examples include predictive text on cell phones, a persons engagement with their own photos, & machine learning in the browser applied to corporate text archives such as a team Slack or Google Drive, & ML on low-powered field devices in energy, agriculture & logistics.

The principles of data minimization established by the GDPR & the prevalence of smart sensors makes these use cases more common, & the advantages of federated learning more compelling. In this talk well cover the algorithmic solutions & the product opportunities.

SPEAKER BIO:
Alice Albrecht is a research engineer at Cloudera Fast Forward Labs. She spends her days researching the latest & greatest in machine learning & artificial intelligence & bringing that knowledge to working prototypes & delivering concrete advice for clients. Prior to joining Fast Forward Labs, Alice worked in both finance & technology companies as a practicing data scientist, data science leader, & most recently a data product manager. In addition to teaching machines to do cool things, Alice is passionate about mentoring & helping others grow in their careers. Alice holds a PhD from Yale in cognitive neuroscience where she studied how humans summarize sensory information from the world around them & the neural substrates that underlie those summaries.

READING MATERIALS:
1) Federated Learning: Machine Learning with Privacy on the Edge (from Cloudera Fast Forward Labs)
https://blog.fastforwardlabs.com/2018/10/29/federated-learning-machine-learning-with-privacy-on-the-edge.html

2) Federated Learning Collaborative (from Google)
https://ai.googleblog.com/2017/04/federated-learning-collaborative.html

THE AGENDA:
[6:30 PM - 7:00 PM] Arrive & Networking
*Building security closes the door promptly at 6:55pm - you must arrive before then to ensure you can get in*

[7:00 PM] Welcome Introduction, Maryam Farooq (Founder/Director, NYAI)

[7:15 PM] Keynote Speaker: Alice Albrecht (Research Engineer, Cloudera Fast Forward Labs) - Federated Learning: Machine Learning on Edge Devices

[8:05 PM] Q&A

[8:30 PM] Closing Remarks

[8:40 - 9:00 PM] Continued Networking

www.nyai.co