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| | No | | | No |
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| | Privacy protection in video analytics
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| | In this topic, you will study how to do privacy protection in video analytics, e.g., video blur
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| | Basic programming knowledge, Basic machine learning knowledge, need coding work
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| | [Tingting Yuan, tingting.yuan@cs.uni-goettingen.de]
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| | Yes
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| | Large Language Model & multimodal setting | | | Large Language Model & multimodal setting |
| | [Wenfang Wu, wenfang.wu@cs.uni-goettingen.de] | | | [Wenfang Wu, wenfang.wu@cs.uni-goettingen.de] |
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| | Yes
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| | Knowledge Graph Completion
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| | What are the Knowledge Graph (KG) requirements for future applications and scenarios? What is the task of Knowledge Graph Completion? What is the correlation between KGs and NLP? How to use popular large language models (LLMs) to assist in the implementation of knowledge graph completion? In this topic, you will learn about KGs and learn to use LLMs to perform a KGC task.
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| | Knowledge Graph & NLP
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| | [Tong Shen, shen.tong@cs.uni-goettingen.de]
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| | Yes | | | Yes |
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| | Large Language Model & Emotional Support | | | Large Language Model & Emotional Support |
| | [Jing Li, jing.li@cs.uni-goettingen.de] | | | [Jing Li, jing.li@cs.uni-goettingen.de] |
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| | Yes
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| | Intelligent Routing
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| | In this topic, you will learn how to configure an environment based on Software-Defined Networking, and then deploy reinforcement learning algorithms on it to achieve automated routing decision.
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| | Basic knowledge of reinforcement learning, fundamental computer network concepts, and coding work are required.
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| | [peichen.li@cs.uni-goettingen.de]
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| | Yes | | | Yes |
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| | Yes | | | Yes |
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| | Resource Optimization in Edge Computing
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| | This topic focuses on designing algorithms to better optimize various resources in edge computing, such as computing resources, storage resources, or network resources to realize a more efficient edge computing system.
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| | Task Scheduling & Caching & Flow Scheduling.
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| | [Chi Zhang, chi.zhang@cs.uni-goettingen.de]
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| | Yes
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| |Service Migration
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| |When users or devices move, services are migrated among edge nodes to ensure low latency and high-quality service. This topic introduces edge architectures and the application of intelligent algorithms, catering to the popular fields of intelligent transportation and autonomous driving.
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| |Edge computing and Machine Learning.
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| |[yufei.liu@cs.uni-goettingen.de]
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| |Yes
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