Federated Learning Under Time-Varying Communication Constraints and Intermittent Client Availability

Presented by: Mónica Ribero
Advisor: Prof. Haris Vikalo
The research focuses on enabling privacy-preserving machine learning systems. Specifically, studying how to model communication constraints and client intermittency in federated learning and efficient differentially private algorithms.
Topics: Federated Learning, Resource Constraints
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The Wireless Networking and Communications Group (WNCG) is an interdisciplinary center for research and education at The University of Texas at Austin with an emphasis on industrial relevance.
Founded in 2002, the group includes 25 faculty from the Departments of Electrical and Computer Engineering, Aerospace Engineering, Mathematics, and Computer Sciences. WNCG currently has over 130 graduate and undergraduate students as well as an ever-changing number of research scientists, postdoctoral fellows and industry visitors.
wncg.org/

[@Janamejaya.Channegowda]

Thank you for sharing, very interesting idea.