Source & Data

Overall 6G-GOALS code dataset links: https://github.com/6G-GOALS 

• EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models: code link

• Real-Time Inference for Distributed Multimodal Systems under Communication Delay Uncertainty: code link

• Causal Abstraction Learning based on the Semantic Embedding Principle: code link

• Latent Space Alignment for AI-Native MIMO Semantic Communications: code link

• Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding: code link

• Real-Time Inference for Distributed Multimodal Systems under Communication Delay Uncertainty: code link

• Learning Network Sheaves for AI-native Semantic Communication: code link

• Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces: code link

• Federated Latent Space Alignment for Multi-user Semantic Communications: code link

• SEMASIA: A Large-Scale Dataset of Semantically Structured Latent Representations: code link

• Low-Latency Task-Oriented Image Transmission with Opportunistic Spectrum Access: code link

Zenodo Testbed Videos:

• DeepJSCC versus SSCC For Wireless Image Transmission: https://zenodo.org/records/20403084  

• Deep Joint Source Channel Coding for Wireless Image Transmission: https://zenodo.org/records/20402945