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20222026
most citedPACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation

3 citations · 6 across the 15 of their papers we have counts for

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stat.ML2024

Federated Learning with Relative Fairness

Shogo Nakakita, Tatsuya Kaneko, Shinya Takamaeda-Yamazaki +1

This paper proposes a federated learning framework designed to achieve \textit{relative fairness} for clients. Traditional federated learning frameworks typically ensure absolute f…

cs.AR2024★ 3 cited

PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation

Wenlun Zhang, Shimpei Ando, Yung-Chin Chen +3

Approximate computing emerges as a promising approach to enhance the efficiency of compute-in-memory (CiM) systems in deep neural network processing. However, traditional approxima…