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Building Semantic Communication System via Molecules: An End-to-End Training Approach
Furthermore, we propose a channel network to enable the E2E learning over the non-differentiable molecular channel.
Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach
Deep learning based decoding networks have shown significant improvement in decoding LDPC codes, but the neural decoders are limited by rate-matching operations such as puncturing or extending, thus needing to train multiple decoders with different code rates for a variety of channel conditions.
AReputation-Based Mechanism for Transaction Processing in Blockchain Systems
First, we modify the verification strategy so that nodes set a probability of verifying a received transaction considering the likelihood of it being spam: transactions from a node with a low reputation have a high probability of being verified.
