Workshop 1 : Blockchain-based Federated Learning
Title: Traceability: Decentralized Federated Learning under the Blockchain
Blockchain and federated learning, as fast-growing emerging industrial technologies, are widely used in manufacturing, agriculture, tourism, medical care, and other industries. On the one hand, blockchain enables decentralized and immutable data storage. On the other hand, federated learning has achieved great success in solving the problem of data islands. This workshop calls for works demonstrating the most recent progress and contributions to blockchain-based federated learning. In particular, this workshop will focus on including but not limited to the following aspects: 
(1) Federated learning based on blockchain to achieve decentralized privacy protection. 
(2) Combined with the limited resources of the Internet of Things (IoT), it is used in IoT to implement blockchain-based federated learning. 
(3) For traceability, audit, and so on aspects of the learning scheme based on blockchain. 
(4) A decentralized system based on blockchain with privacy, security, and credibility.
(5) Security, privacy, and trust for 6G-enabled ubiquitous, intelligent, and cooperative sensing.
(6)IoT technologies with artificial intelligence (AI) for smart cities, precision agriculture, industry 4.0 solutions, self-driving vehicles and health tracking, etc.
Keywords: Federated Learning, Blockchain, Internet of Things, 6G, Artificial Intelligence

Chair: Assist. Prof. Zuobin Ying, City University of Macau, China(Macau)
Zuobin Ying works at the City University of Macau. He is currently the Program Coordinator (Postgraduate) and Assistant Professor in the Faculty of Data Science. He also serves as a committee member of IEEE Macau. His main research interests are blockchain theory and applications, federated learning, and IoT security. In the past four years, he has published more than 50 papers in top international academic journals such as IEEE TSC, IEEE TITS, IEEE TVT, IEEE TCC, IEEE IoTJ, SCIS, and famous international academic conferences such as IEEE ICASSP, IEEE GLOBECOM, IEEE ICA3PP, and ACM CCS Workshop. In addition, he hosted and participated in several national and Macao scientific research projects.
Workshop 2 :  Deepfake: Face Manipulation and Fake Detection
Summary:As one of the characteristics of identity authentication, face plays an essential role in biometrics and human communication. With the rapid development of artificial intelligence and machine learning, people without programming and image editing foundation can also use open-source software and applications to realize face forgery. False news, spoof videos, pornographic videos, etc. created by criminals based on fake face videos have seriously damaged the public's trust in mass media, disrupted social order, and undermined national security. This workshop calls for works demonstrating the most recent progress and contributions to deepfake. In particular, this workshop will focus on the following: (1) Face manipulation, including entire face synthesis, face identity swap, facial attributes manipulation, and facial expression manipulation; (2) Fake facial image/video generation; (3) Fake detection. This workshop especially encourages applications of Deepfake. Please name the email title of the submission with “paper title_workshop title”, when sending an email to this workshop. 
Keywords:Deepfake, face manipulation, fake detection, artificial intelligence, machine learning,
Chair:Assoc. Prof. Le-Bing Zhang,Huaihua University, China
Le-Bing Zhang works as an associate professor in School of Computer and Artificial Intelligence (School of Software), Huaihua University. His research interests include biometric security, multimedia security, and deep learning. He participated in several projects granted by the General Program of the National Natural Science Foundation of China. He published more than 15 papers on top international conferences and journals in recent years including IEEE ICME, ToM, etc. He has been invited to review manuscripts for many top journals such as IEEE TIP, TIFS for a long time.