FedSecure-IoT is a privacy-preserving intrusion detection framework for IoT networks. It combines a hybrid CNN-LSTM-DNN classifier, federated learning with Federated Averaging (FedAvg), and Paillier homomorphic encryption for protecting model updates during aggregation. On traffic derived from the CICIoT2023 dataset (8...
Nitin Rajvanshi· Zenodo (CERN European Organi...· 0 citations
Résumé (FR)Ce document, produit avec l’assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables sur les brevets : art. 54(2) CBE (Convention sur le brevet...
Xavier Pillet· Zenodo (CERN European Organi...· 0 citations
The era of artificial intelligence (AI) in drug discovery and personalized medicine is bringing a new twist to the healthcare field, enhancing the ability to identify the target, develop drugs, and design personal treatment regimens when taking into account the profile of a particular patient. They allow for incorporat...
Rare diseases collectively affect between 3.5 and 5.9% of the global population. Yet, patients still endure an average diagnostic interval of five to seven years before receiving an accurate explanation of their condition. Approximately 80% of these disorders have a genetic origin, and nearly 95% lack approved disease-...
Mario A. Parra-Vilchis, A. F. Garibaldi-Ríos, M. Gallegos-Arreola et al.· Archives of Medical Research· 0 citations
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A client-level differential privacy-dynamic weighted federated learning (DWFL) framework that applies Gaussian-mechanism noise with Renyi differential privacy (DP) composition and privacy amplification by subsampling, combined with a quality-score-driven weighted aggregation mechanism, within a single unified architect...
This paper presents an innovative Adaptive Privacy-Preserving Federated Learning framework specifically designed for real-time cybersecurity threat detection in distributed IoT networks, offering a practical framework for real-world deployment in infrastructure-critical applications.
Milad Rahmati, Nima Rahmati· Journal of Computer Virology...· 0 citations
The proposed DP framework integrates automated mitigation unified risk fusion, guideline-based control verification, and recommendation reporting to offer proactive fraud prevention and comprehensive risk assessment and achieves superior accuracy, precision, recall, and F1-score.
Male factors account for almost half of all infertility cases and afflict approximately 186 million men globally, presenting a substantial and increasing public health burden. Semen analysis is the standard of care for assessing male fertility, but subjective visual interpretation results in > 25–30% inter-observer var...
ElasticScale is presented, an elastic orchestration system that organizes heterogeneous accelerators into disaggregated rollout and trainer instances, via a HeterogeneousRayWorkerGroup abstraction that manages non-uniform hardware topologies and a multi-instance Federated Weight Averaging protocol that aggregates updat...
Wei-An Lin, M. Reza, Talha Nayyar et al.· Proceedings of the 21st Work...· 0 citations
The prototype demonstrates a practical institution-local distributed file system (DFS) for content-addressed acquisition staging that supports verifiable digital collection objects and a federated storage model for collaborating GLAM institutions.
Joachim Snellings, Jasper Funk-Smit, Margot Belot et al.· 0 citations
This work proposes the graph-based learning individual intrinsic reward heterogeneous-agent proximal policy optimization (GLIIR-HAPPO) algorithm, a novel heterogeneous multi-agent reinforcement learning (MARL) framework that fundamentally overcomes this impasse by systematically decomposing the original coupled optimiz...
Bo-Kai Xu, Jia-Yi Zhang, Shuai-Fei Chen et al.· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 7, 2026
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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