Keynote 1
Interplay Between Distributed Computing and AI
H. T. Kung
Abstract
Distributed computing is essential for AI model training and inference, and AI techniques are being used to improve the efficiency and resilience of distributed computing. In this talk, we will discuss the opportunities and challenges in the interplay between distributed computing and AI for various systems, including devices, edges, clouds, and airborne/spaceborne platforms.
Biography
H. T. Kung is the William H. Gates Professor of Computer Science and Electrical Engineering at Harvard University. Throughout his career, he has pursued various research interests, including those related to this seminar, such as machine learning accelerators, VLSI design, high-performance computing, parallel computing, computer architectures, and networks. Professor Kung has received numerous academic honors, including being a member of the National Academy of Engineering (USA), a member of Academia Sinica (Taiwan), a Guggenheim Fellowship, the ACM SIGOPS 2015 Hall of Fame Award, and the 2023 IEEE TCDP Outstanding Technical Achievement Award for his contributions to concurrency control and systolic arrays in distributed systems。
Keynote 2
“Wear” to Compute? Discussing the challenges and opportunities of wearable device computation and data for health.
Cecilia Mascolo
Abstract
Wearable devices are becoming pervasive in our lives, from smart watches measuring our physiology to wearables for the ear accompanying us in every virtual meeting.
In this talk I will discuss where commercial systems have gotten to today and highlight the open challenges that these technologies still face before they can be trusted health measurement proxies. Namely, the ability to work in the wild, the sensitivity of the data versus distribution of computation, the uncertainty of the prediction over the data. I will use examples from my group’s ongoing research on on-device machine learning, “earable” sensing and uncertainty estimation for health applications.
Biography
Cecilia Mascolo is a Full Professor of Mobile Systems in the Department of Computer Science and Technology, University of Cambridge, UK. She is director of the Centre for Mobile, Wearable System and Augmented Intelligence. She is also a Fellow of Jesus College Cambridge and the recipient of an ERC Advanced Research Grant. Prior joining Cambridge in 2008, she was a faculty member in the Department of Computer Science at University College London. She holds a PhD from the University of Bologna. Her research interests are in mobile systems and machine learning for mobile health. She has published in a number of top tier conferences and journals in the area and her investigator experience spans projects funded by Research Councils and industry. She has served as steering, organizing and programme committee member of mobile and sensor systems, data science and machine learning conferences. More details at www.cl.cam.ac.uk/users/cm542.
Keynote 3
Securing an Evolving Ecosystems
Moti Yung
Abstract
Internet wide and/ or Mobile Phone wide computing is the central current paradigm of computing, which are also large scale distributed systems.
Successful systems like cloud based ones constitute an ecosystem connecting numerous players. Ecosystems, when successful, evolve and
further develop over time. Evolutionary changes, in turn, have to be introduced without disturbing the service provided by the ecosystem. Typically, such large systems require security services, which need to protect and enhance function of the systems, supporting its primary goal. Such securing
requires a methodology which is complementary to the major engineering and business efforts.
In this talk I will argue that there are no established methodologies for such securing efforts as part of a general engineering project for the development and maintenance of large systems. I will review the general security development for “Google’s Advertisement Exchange” (ADX), part of the economic engine of the Internet. Based on this concrete work I will extract some methodological principles for security experts working in a general systems effort to be successful.
Biography
Moti Yung is a Security and Privacy Principal Research Scientist with Google. He got his PhD from Columbia University in 1988. Previously, he was with IBM Research, Certco, RSA Laboratories, and Snap. He has also been an adjunct senior research faculty at Columbia.
Yung is a fellow of the IEEE, the Association for Computing Machinery (ACM), the International Association for Cryptologic Research (IACR), and the European Association for Theoretical Computer Science (EATCS). In 2010 he gave the IACR Distinguished Lecture. He is the recipient of the 2014 ACM’s SIGSAC Outstanding Innovation award, the 2014 ESORICS (European Symposium on Research in Computer Security) Outstanding Research award, an IBM Outstanding Innovation award, a Google OC award, and a Google founders’ award. In 2018 he received the IEEE-CS W. Wallace McDowell Award. In 2020 he received the test-of-time award for a paper predicting ransomware co-authored in 1996 in IEEE’s Symp. on Security and Privacy; also in 2020 he received the IACR’s PKC conference test-of-time award for a paper he co-authored in 1998. In 2021 he received the IEEE-CS Computer Pioneer Award. In 2023, he was elevated to a member of the American Academy of Arts and Sciences.