- 일시: 2021년 5월 7일 14:00~
- 장소: Zoom
- 링크: https://sogang-ac-kr.zoom.us/j/5770127876
- 주제: Federated Learning and Beyond for 5G and Beyond
- 연사: 박지홍 교수(Deakin University)
- Abstract:
Machine learning (ML) is a promising enabler for the fifth generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, edge nodes can proactively carry out decision-making, and thereby react to local environmental changes and disturbances while experiencing zero communication latency. To achieve this goal, it is essential to cater for high ML inference accuracy at scale under time-varying data distributions, by continuously exchanging ML model updates in a distributed way while preserving local data privacy. Taming this new kind of data traffic boils down to improving the communication efficiency of distributed learning by co-designing communication and ML operations. To this end, this talk aims to provide an overview of distributed ML frameworks such as federated learning, federated distillation, and split learning, and explore key building blocks and principles to improve their communication efficiency.
- Bio:
Jihong Park is a Lecturer at the School of IT, Deakin University, Australia. He received the B.S. and Ph.D. degrees from Yonsei University, Seoul, Korea, in 2009 and 2016, respectively. He was a Post-Doctoral Researcher with Aalborg University, Denmark, from 2016 to 2017; the University of Oulu, Finland, from 2018 to 2019. His recent research focus includes communication-efficient distributed machine learning, distributed control, and distributed ledger technology, as well as their applications for beyond 5G/6G communication systems. He served as a Conference/Workshop Program Committee Member for IEEE GLOBECOM, ICC, and INFOCOM, as well as NeurIPS, ICML, and IJCAI. He received the IEEE GLOBECOM Student Travel Grant in 2014, the IEEE Seoul Section Student Paper Contest Bronze Prize in 2014, and the 6th IDIS-ETNEWS (The Electronic Times) Paper Contest Award sponsored by the Ministry of Science, ICT, and Future Planning of Korea. Currently, he is an Associate Editor of Frontiers in Data Science for Communications and in Signal Processing for Communications.
- 주관: 김홍석 교수 연구실