EurekAlert!

Enhancing poisoning attack mitigation in federated learning through perturbation-defense complementarity on historical gradients

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
Mashable Benelux

Inside the First Federated Architectures Built for Redefining AI in Regulated Industries

"Traditional AI architectures were built on the assumption that data could be freely centralized. That assumption no longer ...
EurekAlert!

A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.
Hosted on MSN

Creative learning: Art history insights and drawing tutorials for students and artists

Experience a unique blend of art history education and hands-on drawing practice through our interactive online stream. Participants will explore significant art movements, understand historical ...
IEEE

Exploring Communication-Efficient Federated Learning via Stateless in-Network Aggregation

Abstract: As an ambitious training paradigm, federated learning has garnered increasing attention in recent years, which enables collaborative training of a global model without accessing users’ ...
IEEE

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features

Vertical federated learning (VFL) allows parties to build robust shared machine learning models based on learning from distributed features of the same samples, without exposing their own data.
Scientific Research Publishing

Hussain, F., Hassan, S.A., Hussain, R. and Hossain, E. (2020) Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...
The Conversation

Mitigating AI security threats: Why the G7 should embrace ‘federated learning’

Abbas Yazdinejad does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond ...
Frontiers

Horizontal federated learning and assessment of Cox models

1 Applied Cryptography & Quantum Applications, Netherlands Institute for Applied Scientific Research (TNO), The Hague, Netherlands 2 Data Science, Netherlands Institute for Applied Scientific Research ...