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Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks
This method transmits only the semantic information of an image, and the receiver reconstructs the image using an image-generation model.
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
In addition, a technique for visualizing the distance between the NN models in a function space is also proposed.
Vision-Aided Frame-Capture-Based CSI Recomposition for WiFi Sensing: A Multimodal Approach
In this study, we propose the use of camera images toward the accuracy enhancement of CSI recomposition from BFM.
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
This indicates that WiFi sensing that leverages the BFM matrix is more practical to implement using the pre-installed APs.
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Because FL algorithms hardly converge the parameters of machine learning (ML) models, this paper focuses on the convergence of ML models in function spaces.
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