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Distributed Learning and Signal Processing Algorithms
May 26, 2020 @ 17:30 - 19:00
The Long Island (LI) Chapter of IEEE Signal Processing Society (SPS) Presents the following Distinguished Lecture: Distributed Learning and Signal Processing Algorithms
Speaker: Dr. Anna Scaglione, Electrical and Computing Engineering Professor, Arizona State University
Abstract:
Artificial intelligence (AI) today is about developing the capability of a single node to make an inference or to respond to its surroundings with the appropriate action. Inevitably, autonomous systems will evolve to operate in cooperation, as intelligent swarms. This talk will introduce peer to peer algorithms for distributed computation and inference. We will start from the Average Consensus (AC) primitive, its convergence properties over deterministic and random networks and then introduce the Distributed Sub-Gradient (DSG) and the Alternating Direction Method of Multipliers (ADMM) methods. The applications of these algorithms to distributed computation tasks such as hypothesis testing, linear regression, least square approximations, principal component analysis and dictionary learning will be highlighted throughout the talk.
Tuesday evening, May 26, Zoom Virtual Meeting
Agenda:
Technical Support: 17:30-18 EST
Introductions 18-18:05 EST
DL: 18:05-18:50 EST
Q&A: 18:50-19 EST
The lecture is FREE and all are invited: IEEE Members, Non-Members, and Students.
Zoom meeting is limited, so please register at your earliest convenience.
Thanks,
Mr. Mesecher & Dr. Donaldson
Signal Processing Vice Chair & Chair, 2020
IEEE LI Section
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