Dr. Wen Tong, Huawei
Prof. Eswar Prasad, Cornell University
Prof. Dawn Song, UC Berkeley
Tuesday, 3 May 2022
Dr. Wen Tong
CTO, Wireless Network, Huawei Technologies Co., Ltd.
6G-Blockchain: Open Issues and Directions
Abstract: The application of Blockchain technologies to real time communications networks has created many new challenges and opportunities. One of the objectives for 6G wireless is to create a real-time and massive Blockchain system as a foundational platform for the trustworthiness of network operations, hence, the 6G-Blockchain will be the basis for the traceable PoW (proof-of-work) mechanism to ensure the trust, such that every real-time data session, and every real-time signalling operation will be recorded on the public ledger, such as permission based hyper-ledger. In this talk, firstly we discuss the challenges of 6G-Blockchain to connect trillions of the IoT devices with good faith of security, integrity and privacy; secondly, we discuss the fundamental real-time challenges for the 6G-Blockchain with respect to its latency, its throughput and its scalability; thirdly, we propose a comprehensive zero-knowledge verification system, a.k.a. zk-Fabric system, for providing a real-time privacy preserving framework to improve the usability and scalability of the 6G-Blockchain; Lastly , we propose a computational trust-metric model as the consensus mechanism for the 6G-Blockchain.
VITA: Dr. Wen Tong is the CTO, Huawei Wireless. He is the head of Huawei wireless research. In 2011, Dr. Tong was appointed the Head of Communications Technologies Labs of Huawei, currently, he is the Huawei 5G chief scientist and led Huawei’s 10-year-long 5G wireless technologies research and development.
Prior to joining Huawei in 2009, Dr. Tong was the Nortel Fellow and head of the Network Technology Labs at Nortel. He joined the Wireless Technology Labs at Bell Northern Research in 1995 in Canada.
Dr. Tong is the industry recognized leader in invention of advanced wireless technologies, Dr. Tong was elected as a Huawei Fellow and an IEEE Fellow. He was the recipient of IEEE Communications Society Industry Innovation Award in 2014, and IEEE Communications Society Distinguished Industry Leader Award for “pioneering technical contributions and leadership in the mobile communications industry and innovation in 5G mobile communications technology” in 2018. He is also the recipient of R.A. Fessenden Medal. For the past three decades, he had pioneered fundamental technologies from 1G to 5G wireless, with more than 510 awarded US patents.
Dr. Tong is a Fellow of the Canadian Academy of Engineering, and he serves as Board of Director of Wi-Fi Alliance.
Wednesday, 4 May 2022
Prof. Eswar Prasad
Tolani Senior Professor of Trade Policy and Professor of Economics, Cornell University
The Future of Money: How the Digital Revolution is Transforming Currencies and Finance
Abstract: This lecture will provide an overview of Fintech developments in advanced and emerging market economies, along with a discussion of how the digital revolution and the emergence of cryptocurrencies and decentralized finance is broadening financial inclusion and disrupting traditional financial markets and institutions. The lecture will also cover the motivations behind and the implications of central bank digital currencies. Finally, the lecture will cover the ramifications of these developments for monetary policy implementation and transmission, financial stability, and the structure of the international monetary system.
VITA: Eswar Prasad is the Tolani Senior Professor of Trade Policy and Professor of Economics at Cornell University. He is also a Senior Fellow at the Brookings Institution, where he holds the New Century Chair in International Economics, and a Research Associate at the National Bureau of Economic Research. He was previously chief of the Financial Studies Division in the IMF’s Research Department and, before that, was the head of the IMF’s China Division.
Prasad’s latest book is The Future of Money: How the Digital Revolution is Transforming Currencies and Finance (Harvard University Press, 2021). He is also the author of Gaining Currency: The Rise of the Renminbi (Oxford, 2016) and The Dollar Trap: How the U.S. Dollar Tightened Its Grip on Global Finance (Princeton, 2014). Prasad has testified before the Senate Finance Committee, the House of Representatives Committee on Financial Services, and the U.S.-China Economic and Security Review Commission. He is the creator of the Brookings-Financial Times world economy index (TIGER: Tracking Indices for the Global Economic Recovery). His op-ed articles have appeared in the Financial Times, Foreign Policy, Harvard Business Review, International Herald Tribune, New York Times, Wall Street Journal, and Washington Post.
Thursday, 5 May 2022
Prof. Dawn Song
Professor, UC Berkeley
Data Sovereignty and Decentralized Data Science in Web3
Abstract: Data is a key driver of modern economy and AI/machine learning, however, a lot of this data is sensitive and handling the sensitive data has caused unprecedented challenges for both individuals and businesses. These challenges will only get more severe as we move forward in the digital era. In this talk, I will talk about how Web3 technologies including decentralized identities, policy-compliant decentralized computation, and data sovereignty can help provide a paradigm shift to enable users and data owners to maintain better control of their data and get better benefits from their data, and break down data silos and enable data commons for public good through decentralized data science. By combining technologies including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights, we can build a platform for a responsible data economy, to enable more responsible use of data that maximizes social welfare and economic efficiency while protecting users’ data rights and enable fair distribution of value created from data.
VITA: Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in AI and deep learning, security and privacy, and blockchain. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and numerous Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.