Search Results for author: Amir Aminifar

Found 5 papers, 3 papers with code

Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems

1 code implementation9 May 2024 Amin Aminifar, Matin Shokri, Amir Aminifar

However, enabling learning from distributed data over such edge Internet of Things (IoT) systems (e. g., mobile-health and wearable technologies, involving sensitive personal/medical data) in a privacy-preserving fashion presents a major challenge mainly due to their stringent resource constraints, i. e., limited computing capacity, communication bandwidth, memory storage, and battery lifetime.

Federated Learning Privacy Preserving +1

Lightweight Inference for Forward-Forward Algorithm

no code implementations8 Apr 2024 Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar

The human brain performs tasks with an outstanding energy-efficiency, i. e., with approximately 20 Watts.

Seizure Detection

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

1 code implementation15 Dec 2023 Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

This lack of formal guarantees resulted in several research efforts that aim at verifying Deep Neural Networks (DNNs), with a particular focus on safety-critical applications.

Synthetic Epileptic Brain Activities Using Generative Adversarial Networks

1 code implementation22 Jul 2019 Damian Pascual, Amir Aminifar, David Atienza, Philippe Ryvlin, Roger Wattenhofer

In this work, we generate synthetic seizure-like brain electrical activities, i. e., EEG signals, that can be used to train seizure detection algorithms, alleviating the need for recorded data.

EEG Generative Adversarial Network +1

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