Data base for:

  • Conferences
  • Research funding opportunities
  • Competitions / Awards

Register for free and add any data by yourself!

Filter conferences

The Federated and Distributed Machine Learning Conference

The Federated and Distributed Machine Learning Conference

Date of beginning

Thursday, 18 June 2020


2 days






John Waslif


This email address is being protected from spambots. You need JavaScript enabled to view it.


As federated learning expands and more institutions and companies begin to explore the capabilities of this model, there's a quickly growing need for an event which can highlight the very latest developments in this growing area. The Federated Learning Conference is being organized to provide a dynamic learning environment for both academic and industry leaders to facilitate the growth of federated learning and establish the networks that will be vital to its development and promulgation. Federated learning is a distributed machine learning system which enables model training on a large body of decentralized data. Federated learning aims to make industries effectively and accurately use data across organizations while meeting regulatory, privacy, and security requirements. Unlike traditional machine learning, federated learning brings the model to the data. Below is a partial list of our speakers for this event. URL:Tickets: Prices:Student: USD 150.0,Academic/Government/Non-Profit: USD 300.0,Industry: USD 450.0 Speakers: Akshay Sharma, Chief Technology Officer, Doc.AI, Marcin Rojek, Co-Founder, ByteLake, Ramesh Raskar, Associate Professor of Computer Science, MIT, Anila Joshi, Machine Learning/AI Technical Leader, Global AI Accelerator, Ericsson, NIrmit Desai, Ph.D., Research Staff Member And Manager, Edge Computing, IBM Research Date And Time:On Thursday June 18, 2020 at 8:30 am (ends Friday June 19, 2020 at 2:40 pm) Venue Details:Online