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Found 10 papers, 2 papers with code
Scene Understanding Enabled Semantic Communication with Open Channel Coding
This approach prioritizes high-level semantic information, improving robustness and reducing redundancy across modalities like text, speech, and images.
Pilot-guided Multimodal Semantic Communication for Audio-Visual Event Localization
Existing methods often focus on single modality tasks and fail to handle multimodal stream data, such as video and audio, and their corresponding tasks.
Multimodal Trustworthy Semantic Communication for Audio-Visual Event Localization
This letter introduces MMTrustSC, a novel framework designed to address these challenges by enhancing the security and reliability of multimodal communication.
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
Our in-depth category-level analysis reveals a lack of Chinese cultural knowledge in existing VLMs.
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Federated learning systems are susceptible to adversarial attacks.
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
In this paper, we design a new method that is suitable for high dimensional problems, under arbitrary number of Byzantine attackers.
Robust Nonparametric Regression under Poisoning Attack
The final estimate is nearly minimax optimal for arbitrary $q$, up to a $\ln N$ factor.
Intelligent Computing: The Latest Advances, Challenges and Future
In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications.
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
The domain shift, coming from unneglectable modality gap and non-overlapped identity classes between training and test sets, is a major issue of RGB-Infrared person re-identification.
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern.
