Flower Monthly September

​Join us for Flower Monthly, featuring 6 researchers and engineers working on practical approaches to federated learning and AI.

​We’ll hear from:

• ​Hasti Zanganeh (University of South Carolina) and Lydia Obeng (University of Arizona) on SpikeFed, their work on federated training of spiking neural networks for event-based vision.

• ​Tanveer Singh and Shritesh Jamulkar (Booking.com) on Pollen Mesh, a privacy-preserving system for identifying related security threats without sharing raw logs.

• ​Vyacheslav Lukin and Ivan Senilov from OpenAsset on Consortium, their winning project from the Flower Labs x University of Cambridge Collaborative Agent Hackathon.

​Together, we’ll explore practical privacy, efficient AI systems, and what federated learning makes possible when data needs to stay where it is.