IoT Thrust Seminar | AI-driven Adaptive Distributed Systems in Untrusted Environments
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:
For the past decade, distributed systems have been governed by central authorities, typically assuming trusted environments and tolerating only crash failures. However, events like the recent collapse of multinational banks and stock exchange glitches have deteriorated trust in these monopolized systems. This has accelerated the rise of decentralized systems where multiple untrusting parties collaborate, making untrusted environments prevalent and shifting the focus of fault tolerance to tolerating malicious failures. My research focuses on building the next generation of intelligent and adaptive distributed systems for these untrusted contexts.
Chenyuan Wu is a Ph.D. candidate in the Department of Computer and Information Science at University of Pennsylvania, advised by Boon Thau Loo. His research focuses on distributed data management, machine learning for systems, and blockchains. His work has been published at top distributed systems and database conferences including NSDI and VLDB. He has received the Outstanding Paper Award at NSDI 2024 and the Best Paper Award at EDBT 2020. Chenyuan had industrial research experiences at Huawei and Chainlink Labs where he worked closely with Dr. Dahlia Malkhi.