GitHub

Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks

This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.
Reuters

India's November Russian oil imports set to hit five-month high, Kpler data shows

NEW DELHI/MOSCOW, Nov 25 (Reuters) - India's oil imports from Russia in November are set to hit their highest level in five months, preliminary data from Kpler shows, as refiners rushed to secure ...
IEEE

VSecNN: Verifiable and Privacy-Preserving Neural Network Inference in Cloud Service

Abstract: Neural network inference in cloud service offers tangible benefits to users, from individuals and small institutions to large companies. However, two crucial concerns must be addressed. The ...
Frontiers

Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network

In view of the growing volume of data, there is a notable research focus on hardware that offers high computational performance with low power consumption. Notably, neuromorphic computing, ...
marktechpost

Fine-Tuning of Llama-2 7B Chat for Python Code Generation: Using QLoRA, SFTTrainer, and Gradient Checkpointing on the Alpaca-14k Dataset

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...
marktechpost

On-Chip Implementation of Backpropagation for Spiking Neural Networks on Neuromorphic Hardware

Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...