![]() She is currently a Dean’s Professor of Electrical Engineering at the University of Southern California and previously at the Ohio State University and Bellcore. degrees from the University of California, Berkeley and her Ph.D. Theoretical guarantees can be provided, and the proposed methods offer strong performance gains across a variety of networks.īio: Urbashi Mitra received her B.S. The proposed strategy offers significantly improved convergence rates and performance versus current state-of-the-art learning methods including those based on neural networks. We show that the new representations allow for efficient graph reduction and enable low complexity optimization of network control policies. An exciting consequence is that the graph representations allow for the efficient creation of related synthetic networks, or digital cousins, that accurately capture network behavior without the need for excessive trajectory sampling of the actual network. A novel on-line/off-line Q-learning methodology is proposed enabling ensemble learning across the digital cousins. We review strategies exploiting graph signal processing for network optimization including new representations for network behavior. To this end, we propose a multi-pronged approach to network design and optimization. We present modeling strategies that effectively capture the dynamics and heterogeneity of these modern networks – however, the models come at the price of complexity. While cognitive networks promise to introduce agility and intelligence, there is a need to significantly scale up such approaches in an internet-of-everything world. These modern networks challenge our ability to design and optimize efficiently. ![]() Title: Digital Cousins: Ensemble Learning for Large & Heterogeneous NetworksĪbstract: The evolution to 6G promises communication-and-compute networks that are larger in scale and with significantly heterogeneous edge devices. Keynote 9: Radia Perlman, 2023 IEEE Eric E. Keynote 7: Lorenzo Casaccia, Qualcomm, Spain Keynote 6: Xinhui Wang, Vice President, ZTE Corporation, China Keynote 4: Mérouane Debbah, Technology Innovation Institute, UAE Keynote 3: Geng Wu, Intel Fellow and Head of Next Generation and Standards, Intel Corporation, USA Wednesday, 31 May Keynote 2: Nicola Blefari-Melazzi, University of Roma Tor Vergata, Italy Keynote 1: Urbashi Mitra, University of Southern California, USA Keynote 5: Giampaolo Tardioli, Vice President of Communication Solution Group (CSG), Keysight Inc. She has a PhD in computer science from MIT.Keynote 8: Wen Tong, CTO, Wireless Network, Huawei Technologies Co., Ltd. She has been recognized with many industry honors including induction into the National Academy of Engineering, the Inventor Hall of Fame, The Internet Hall of Fame, Washington State Academy of Science, and lifetime achievement awards from Usenix and SIGCOMM. She is the author of the textbook “Interconnections” (about network layers 2 and 3) and coauthor of “Network Security: Private Communication in a Public World” (the 3rd edition of which was published this year). She also has made contributions in network security, including scalable data expiration, distributed algorithms despite malicious participants, and DDOS prevention techniques. ![]() She also invented the spanning tree algorithm which transformed Ethernet from a technology that supported a few hundred nodes within a single building, to something that could support large networks. She is known for inventing fundamental networking technology enabling robust, largely self-managing, and scalable link state routing, used in the specific protocol she designed (IS-IS), and similar protocols (OSPF). ![]() Radia Perlman is a Fellow at Dell Technologies. ![]()
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