Search Results for author: Alireza Amirshahi

Found 4 papers, 2 papers with code

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

3 code implementations20 Feb 2024 Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin

Based on existing guidelines and recommendations, the framework introduces a set of recommendations and standards related to datasets, file formats, EEG data input content, seizure annotation input and output, cross-validation strategies, and performance metrics.

EEG Seizure Detection

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

1 code implementation20 Dec 2023 Alireza Amirshahi, Giovanni Ansaloni, David Atienza

Additionally, we address the overhead of non-GEMM operations in transformer models within the scope of this memory data arrangement.

Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties

no code implementations28 Mar 2023 Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen

In this paper, we propose \textbf{Party-wise Dropout} to improve the VFL model's robustness against the unexpected exit of passive parties and a defense method called \textbf{DIMIP} to protect the active party's IP in the deployment phase.

Vertical Federated Learning

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