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Federated Learning: DSE Presents Chat with the Lab webinar
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Apr 15, 2021 from 12:00 PM to 01:00 PM (ET)
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Federated Learning: DSE Presents Chat with the Lab
Thu, Apr 15, 2021 12:00 PM EDT
In an era where AI is transforming every business, privacy concerns become one of the most relevant issues in the industry. Various use cases present the challenge of data being scattered across different geographies while regulations may prevent data assets to be consolidated into a single location for analytics tasks. Federated Learning is the natural response to this issue, allowing to train models from isolated datasets without moving the data from their original location.
This presentation provides an overview of the emerging field of Federated Learning (FL). Some topics to be covered are (1) how FL works, (2) industry use cases, (3) available ML algorithms, (4) some open source technologies available, and (5) IBM’s vision on FL.
Speakers
Óscar D. Lara-Yejas
Senior Data Scientist,
IBM Cloud and Cognitive Software
Óscar D. Lara-Yejas is Senior Data Scientist with the IBM Data Science and AI Elite and one of the founding members of the IBM Machine Learning Hub. He helps the worlds’ top industries put AI to work, whether it is in healthcare, finance, manufacturing, government, or retail, among others. He has also contributed to the IBM Big Data portfolio, particularly in the Large-scale Machine Learning area, being an Apache Spark and Apache SystemML contributor.
Óscar holds a Ph.D. in Computer Science and Engineering from University of South Florida. He is the author of the book “Human Activity Recognition: Using Wearable Sensors and Smartphones”, as well as a number of research/technical papers on Big Data, Machine Learning, Human-centric sensing, and Combinatorial Optimization. Dr. Lara-Yejas is a regular speaker at Hadoop Summit, IEEE Congress on Big Data, IEEE World Conference on Computational Intelligence, Strata+Hadoop, IBM Insight, IBM Think, among other conferences and events.
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Jessica Leitsch
jleitsch@higherlogic.com
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