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Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography
Since a hardware implementation of FFT/IFFT over the ring is currently non-existent, the execution time achieved by this processor is compared to the software implementation of FFT/IFFT of FALCON on a Raspberry Pi 4 with Cortex-A72, where the proposed processor achieves a speedup of up to 2. 3$\times$.
Number Systems for Deep Neural Network Architectures: A Survey
The reader will be able to understand the importance of an efficient number system for DNN, learn about the widely used number systems for DNN, understand the trade-offs between various number systems, and consider various design aspects that affect the impact of number systems on DNN performance.
An Effective Spatial Modulation Based Scheme for Indoor VLC Systems
This scheme enhances the achievable throughput of conventional SM schemes by transmitting higher order complex modulation symbol, which is decomposed into three different parts.
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems
Nevertheless, concerns pertaining to privacy and communication overhead when sharing raw data of the involved clients with a server constitute major bottlenecks in the implementation of centralized ML techniques.
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
This leads to a repetition of the weights across the processing element (PE) array, which in turn enables the reuse of the DNN sub-computations (computational reuse) and leverage the same data (data reuse) to reduce DNNs computations, memory accesses, and improve energy efficiency albeit at the cost of increased training time.
Rate-Splitting Multiple Access: Unifying NOMA and SDMA in MISO VLC Channels
Then, we introduce rate-splitting multiple access (RSMA), which was initially proposed for RF systems and discuss its potentials in VLC systems.
