A5081606446- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Explainable Artificial Intelligence (XAI)
- Cloud Computing and Resource Management
- Stochastic Gradient Optimization Techniques
- Mobile Crowdsensing and Crowdsourcing
- Distributed systems and fault tolerance
- Green IT and Sustainability
- Domain Adaptation and Few-Shot Learning
- Recommender Systems and Techniques
- Internet Traffic Analysis and Secure E-voting
- Caching and Content Delivery
- Machine Learning in Materials Science
- Advanced Neural Network Applications
- Energy Efficient Wireless Sensor Networks
- Adversarial Robustness in Machine Learning
- Indoor and Outdoor Localization Technologies
- Cloud Data Security Solutions
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Scientific Computing and Data Management
- Computational Physics and Python Applications
Baidu (China)
2021-2023
Zhejiang Lab
2022
Summary In recent years, data are typically distributed in multiple organizations while the security is becoming increasingly important. Federated learning (FL), which enables parties to collaboratively train a model without exchanging raw data, has attracted more and attention. Based on distribution of FL can be realized three scenarios, that is, horizontal, vertical, hybrid. this article, we propose combine machine techniques with vertical federated (DVFL) approach. The DVFL approach...
While recommender systems have been ubiquitously used in digital marketing and online business development, the conversions of advertising for mobile apps installation activation sometimes are far from satisfactory, due to lack feedback App-related activities, leading a poor record Return on Investment (RoI). Though advertisers, e.g., App operators Store, granted log users' app-related activities such as installation, activation, usages, preferences per agreement, they usually limit access...
Existing explanation algorithms have found that, even if deep models make the same correct predictions on image, they might rely different sets of input features for classification. However, among these features, some common be used by majority models. In this paper, we are wondering what various classification and whether with better performance may favor those features. For purpose, our work uses an algorithm to attribute importance (e.g., pixels or superpixels) as explanations proposes...
Due to privacy concerns of users and law enforcement in data security privacy, it becomes more difficult share among organizations. Data federation brings new opportunities the data-related cooperation organizations by providing abstract interfaces. With development cloud computing, store on achieve elasticity scalability for processing. The existing placement approaches generally only consider one aspect, which is either execution time or monetary cost, do not partitioning hard constraints....
While spatial-temporal environment monitoring has become an indispensable way to collect data for enabling smart cities and intelligent transportation applications, the cost deploy, operate maintain a sensor network with sensors massive communication infrastructure is too high bear. Compared infrastructure-based sensing approach, community sensing, or namely mobile crowdsensing, that leverage members' devices becomes feasible scale up coverage of system. However, system would need aggregate...
While the field of NL2SQL has made significant advancements in translating natural language instructions into executable SQL scripts for data querying and processing, achieving full automation within broader science pipeline - encompassing querying, analysis, visualization, reporting remains a complex challenge. This study introduces SageCopilot, an advanced, industry-grade system that automates by integrating Large Language Models (LLMs), Autonomous Agents (AutoAgents), User Interfaces...
Due to privacy concerns of users and law enforcement in data security privacy, it becomes more difficult share among organizations. Data federation brings new opportunities the data-related cooperation organizations by providing abstract interfaces. With development cloud computing, store on achieve elasticity scalability for processing. The existing placement approaches generally only consider one aspect, which is either execution time or monetary cost, do not partitioning hard constraints....