Search Results for author: Runcong Kuang

Found 2 papers, 1 papers with code

SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks

2 code implementations24 Oct 2022 Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang, Gokul Krishnan, Yu Cao, Priyadarshini Panda

To this end, we propose SpikeSim, a tool that can perform realistic performance, energy, latency and area evaluation of IMC-mapped SNNs.

Benchmarking

Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase

no code implementations4 Oct 2022 Jingtao Li, Runcong Kuang

To prevent this, Federated Learning is proposed as a private learning scheme, using which users can locally train the model without collecting users' raw data to servers.

Federated Learning Keyword Spotting

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