Next Meetup

NYAI #26 | Federated Learning: ML on Edge Devices (w/ Alice Albrecht)
*PAID EVENT!* Tickets here: 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 and IoT devices, without moving data off the device. This minimizes concerns about privacy, data regulation, bandwidth, and storage, while providing similar results as centralized models. Examples include predictive text on cell phones, a person’s engagement with their own photos, and machine learning in the browser applied to corporate text archives such as a team Slack or Google Drive, and ML on low-powered field devices in energy, agriculture and logistics. The principles of data minimization established by the GDPR and the prevalence of smart sensors makes these use cases more common, and the advantages of federated learning more compelling. In this talk we’ll cover the algorithmic solutions and the product opportunities. SPEAKER BIO: Alice Albrecht is a research engineer at Cloudera Fast Forward Labs. She spends her days researching the latest and greatest in machine learning and artificial intelligence and bringing that knowledge to working prototypes and delivering concrete advice for clients. Prior to joining Fast Forward Labs, Alice worked in both finance and technology companies as a practicing data scientist, data science leader, and – most recently – a data product manager. In addition to teaching machines to do cool things, Alice is passionate about mentoring and 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 and the neural substrates that underlie those summaries. READING MATERIALS: 1) Federated Learning: Machine Learning with Privacy on the Edge (from Cloudera Fast Forward Labs) 2) Federated Learning Collaborative (from Google) 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

Capital One Labs

114 5th Ave, 6th Floor · New York, NY

What we're about

NYAI ( is a community of researchers, developers, educators, data scientists, investors, and general enthusiasts that gather to network, learn, and discuss emerging trends in AI. We're known for our monthly Speaker Series where thought leaders do a technical deep dive covering a specific topic on AI or machine learning.

This is a group for anyone interested in learning more about AI! Our goal is simple - learn new trends in AI, collaborate, network, and most importantly have fun!

Please be advised that by attending any NYAI event, you are indicating your agreement to the terms of the NYAI Waiver and Release of Liability Form.

Members (3,767)

Photos (43)

Find us also at