华北电力大学“前沿&创新”论坛第326期：Energy and privacy aware estimation over adaptive networks
时间：2019-10-22 10:00:00 来源：作者： 发布日期：2019-10-22
【讲座题目】Energy and privacy aware estimation over adaptive networks
【主 讲 人】Cédric Richard教授
Prof. Cédric Richard is a Full Professor at the University of Nice Sophia Antipolis, France. He is the head of the group “Signal and Image Processing” at the Lagrange Laboratory.
His current research interests include statistical signal processing and machine learning. He is the author of over 300 international journal and conference papers.
In 2010-2015, Prof. Richard was distinguished as junior Member of the Institut Universitaire de France (IUF). The IUF is a French service of the Ministry of Higher Education that distinguishes less than 2% of Professors for their research excellence, as evidenced by their international recognition.
Prof. Richard is the Director-at-Large of the Region 8 (Europe, Middle East, Africa) of the IEEE Signal Processing Society (IEEE-SPS), and a Member of the Board of Governors of the IEEE-SPS. He is also the Director of the French federative CNRS research association ISIS (Information, Signal, Image, Vision). This academic task force is committed to animating, inspiring and encouraging research in signal and image processing, and machine learning. The French federative CNRS research association ISIS has more than 3500 members (faculty members, doctoral students, and researchers), in 170 academic research labs, and is supported by 20 big companies.
Since 2009, Prof. Richard serves an Associate Editor of Signal Processing Elsevier. He served as a Senior Area Editor of the IEEE Transactions on Signal Processing (2015-2018), as an Associate Editor of the IEEE Transactions on Signal and Information Processing over Networks (2015-2018). He is an elected member of the IEEE Signal Processing Theory and Methods Technical Committee (2009-2014, and 2018-…), and has been an elected member of the IEEE Machine Learning for Signal Processing Technical Committee (2012-2018).
Prof. Richard was the General Co-Chair of the IEEE SSP’11 Workshop that was held in Nice, France. He was the Technical Co-Chair of EUSIPCO’15 that was held in Nice, France, and of the IEEE CAMSAP’15 Workshop that was held in Cancun, Mexico. He was also the Special Session Chair of the IEEE SAM’16 Workshop that was held in Rio de Janeiro, Brazil, and he will be the Local Co-Chair of the IEEE CAMSAP’19 Workshop. He will be the General Co-Chair of EUSIPCO’20 that will be held in Amsterdam, Netherlands.
Distributed estimation over adaptive networks takes advantage of the interconnections between agents to perform parameter estimation from streaming data. Compared to a centralized architecture, distributed strategies are resilient to links and agents failures, and are scalable. However, these benefits have a counterpart. Distributed strategies require reliable communication between neighboring agents, which is a substantial burden especially for agents with a limited energy budget. In addition to this high communication load, as for any distributed algorithm, there may be some privacy concerns particularly for applications involving sensitive data. The aim of this presentation is to address these two challenges.