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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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DTSTART;TZID=Asia/Hong_Kong:20251204T093000
DTEND;TZID=Asia/Hong_Kong:20251204T103000
DTSTAMP:20260511T134221
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SUMMARY:RPG Seminar – Lightweight Blockchain for Spatially and Temporally Scalable Federated Learning in Edge Networks
DESCRIPTION:Zoom Link:  https://hku.zoom.us/j/97347520963?pwd=ohdjCe9kx6axOTFn2m2M9gsVojb2kG.1 \nAbstract\nFederated Learning (FL) has rapidly advanced as a foundational paradigm for realizing privacy-preserving intelligence in edge networks. However\, its real-world deployment is fundamentally challenged by two dimensions: spatial scalability across a large\, heterogeneous population of devices\, and temporal robustness over long-lived\, evolving learning processes. While blockchain technology offers inherent benefits like tamper-proof logging and decentralized trust\, its naïve integration with FL is often intractable. This intractability stems from complex communication topologies\, severe resource limitations\, and the increasing cost of maintaining and retrieving an ever-expanding\, shared knowledge base. \nThis seminar presents a unified view of lightweight blockchain designs systematically engineered to overcome these challenges. We introduce two novel systems: LiteChain and LiFeChain. LiteChain addresses spatial scalability in massive edge networks. Furthermore\, it incorporates a Comprehensive Byzantine Fault Tolerance (CBFT) consensus and a secure update mechanism to reduce end-to-end latency\, on-chain storage overhead. LiFeChain tackles the temporal dimension in Federated Lifelong Learning (FLL) for edge networks. It is combined with a Segmented Zero-knowledge Arbitration (Seg-ZA) protocol that enables efficient\, bidirectional model verification with minimal on-chain disclosure. Implemented as a plug-and-play component in representative FLL frameworks\, LiFeChain significantly enhances model robustness against long-term\, cumulative attacks while sustaining efficiency and scalability. \nThese works demonstrate a systematic methodology for redesigning blockchain architectures to support FL that is simultaneously capable of scaling out in space and enduring over time within highly constrained edge networks. \nSpeaker\nMiss Handi Chen\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nHandi Chen received the B.E. degree in network engineering from Tianjin University of Since and Technology in 2019\, and the M.E. degree in network engineering from the Dalian University of Technology in 2022. She is currently working toward the Ph.D. degree in Department of Electrical and Electronic Engineering\, the University of Hong Kong. Her research interests include edge intelligence\, mobile edge computing. \nOrganiser\nProf. Edith C.H. Ngai\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251204/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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DTSTART;TZID=Asia/Hong_Kong:20251204T140000
DTEND;TZID=Asia/Hong_Kong:20251204T150000
DTSTAMP:20260511T134221
CREATED:20251201T090429Z
LAST-MODIFIED:20251201T090429Z
UID:114317-1764856800-1764860400@ece.hku.hk
SUMMARY:RPG Seminar – Planning and Operation Optimization of Electric-Coupled Systems for High-Speed Railways towards Flexibility and Resilience
DESCRIPTION:Zoom Link:  https://hku.zoom.us/j/97338207102 \nAbstract\nElectrified high-speed railways are emerging as major and spatially distributed electricity consumers in modern power systems\, and their traction demand is tightly coupled with train dynamics and timetable scheduling. With the increasing exploitation of renewable resource endowments along railway corridors\, electrified railways are evolving from pure loads into potential flexibility and resilience providers for low-carbon power systems. However\, this evolution also brings new challenges and opportunities. On the one hand\, existing models and operation strategies often treat high-speed railways as rigid electrical loads\, leading to simplified kinetic-electrical representations and limited utilization of flexibility arising from coordinated train control and energy management of electric-coupled traction power supply systems. On the other hand\, existing planning approaches for railway energy infrastructure remain largely economy-oriented and seldom incorporate explicit resilience criteria or the multi-stage couplings between energy supply adequacy and transportation service continuity. Hence\, for the first challenge\, we develop a unified kinetic-electrical coupling model together with a space-domain multi-phase pseudospectral coordination framework that jointly optimizes train trajectories and the operation of electric-coupled traction power supply systems with integrated photovoltaics and hybrid energy storage. The proposed method simultaneously accounts for detailed railway operating constraints and power system operating constraints within a numerically efficient optimal control formulation\, demonstrating reduced traction energy cost\, enhanced renewable utilization\, and mitigated power fluctuations at the grid interface compared with benchmark strategies. For the second challenge\, we propose a multi-stage resilience enhancement framework that integrates risk-aware capacity planning\, rolling emergency energy management\, and adaptive train control. A two-stage stochastic program with risk measurements is employed to co-optimize renewable\, storage\, and backup generation capacities under extreme grid outage and adverse weather scenarios\, while operational layers coordinate distributed resources and train trajectories in real time. Case studies show that the proposed framework can substantially improve both energy supply resilience and transportation service robustness with moderate additional cost\, highlighting electrified high-speed railways as promising flexibility and resilience resources in future power systems. \n \nSpeaker\nMr. Ruizhang Yang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nRuizhang Yang received his B.S. and M.S. degree in Electrical Engineering from Huazhong University of Science and Technology\, China in 2017 and 2020\, respectively. From 2020 to 2022\, he worked as an Engineer at the Institute of Electrified Railway Design and Research\, China Railway Siyuan Survey and Design Group. He is currently pursuing a Ph.D. degree at the Department of Electrical and Electronic Engineering at The University of Hong Kong\, under the supervision of Prof. Yunhe Hou. His research interests focus on resilient transportation energy supply systems. \nOrganiser\nProf. Yunhe Hou\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251204-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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