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Federated Learning in Big Data Over Networks

Offered By: IEEE Signal Processing Society via YouTube

Tags

Federated Learning Courses Data Science Courses Big Data Courses Machine Learning Courses Graph Theory Courses Network Analysis Courses Distributed Computing Courses Data Privacy Courses

Course Description

Overview

Explore federated learning techniques for handling big data distributed across networks in this IEEE Signal Processing Society webinar presented by Alexander Jung from Aalto University. Gain insights into the DEGAS (Data sciEnce on GrAphS) Webinar Series, which focuses on cutting-edge data science applications for graph-structured information. Discover how federated learning approaches can be applied to large-scale datasets while preserving privacy and addressing challenges associated with distributed data processing. Learn about the latest advancements in this field and their potential impact on various industries and research areas.

Syllabus

Federated Learning in Big Data Over Networks


Taught by

IEEE Signal Processing Society

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