The global financial system processes trillions of dollars in transactions daily, creating an urgent need for monitoring systems that are secure, scalable, privacy-preserving, and capable of detecting sophisticated fraud in real time. Despite a decade of development, existing approaches are fundamentally fragmented: ru...
Ozgur Salam Gurbuz, M. Salam· Proceedings of the 7th Natio...· 0 citations
The emergence of Internet of Things (IoT) devices in next-generation communication networks has brought about new and complex challenges related to resource management, which include massive connectivity, heterogeneous traffic loads, and strict energy considerations. Static and heuristic resource allocation algorithms...
Nitish Kumar, Mohammad Shahbaz Khan· International Journal of Sci...· 0 citations
Federated Learning (FL) enables collaborative training of models across institutions without centralizing sensitive data, making it well-suited for privacy-concerned applications, such as medical imaging. To protect FL model updates during secure aggregation, additive masking is commonly employed. However, its underlyi...
Ivan Donà, H. H. Brunner, Á. T. Olivas et al.· 0 citations
Federated multi-player multi-armed bandit problems model collaborative sequential decision-making where multiple players interact with a common bandit environment and share information through a central server to accelerate learning. Existing federated bandit frameworks typically assume that all players willingly share...
J. PavamanaK, C. Singh· 0 citations
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This paper revisits the distributed learning problem for training a multinomial logistic regression model with the Federated Averaging ($\texttt{FedAvg}$) algorithm. We concentrate on a scenario with arbitrarily large stepsizes and heterogeneous update rules where the devices may perform a different number of local upd...
Hematological disorders, including anemia and leukemia, pose major health risks globally, especially in developing areas. Around 1.92 billion people are affected by anemia, with about 475,000 new leukemia cases diagnosed yearly, resulting in approximately 310,000 deaths. The reliance on subjective conventional diagnost...
Bhavadharani Babu, S. Umapathy· The Egyptian Journal of Inte...· 0 citations
Experimental results demonstrate that the proposed FMADRL with digital-twin assistance significantly outperforms existing methods in energy savings, reduced delay, improved reliability, and robustness against security threats.
B. A, T. Sadasivam· Discover Computing· 0 citations
Federated learning (FL) enables collaborative training of medical image segmentation models without sharing raw patient data, yet existing approaches assume a homogeneous compute budget across institutions, limiting participation of low-resource sites. We propose Fed-ADApt, a depth-adaptive federated framework for UNet...
Abhijeet Parida, Zhi-Fan Jiang, Pooneh Roshanitabrizi et al.· 0 citations
Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose
fusion isomerism learning (FusionIL)
, a secure and domain‐agnost...
Zhi-Hao Hao, Long-Bing Cao, Han Yu et al.· CAAI Transactions on Intelli...· 0 citations
Code, per-run results, tables and figures for the manuscript "Communication-efficient split federated learning for patient-independent ECG classification". The ECG databases are not included.
Venkatesh Janarthanan, Viswanathan A· Zenodo (CERN European Organi...· 0 citations
A median filter removes impulsive noise by sorting a few neighbouring samples and picking the middle one. Filters of this family (rank-order or order-statistic filters) need no multiplications, cannot be thrown off by a few wild samples, and their output never moves more than their input does. They were popular in the...
Juan Carlos del Rio Romero· 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) entrant dans l'état de la technique selon les législations applicables (EPC Art. 54(2); French IPC Art. L 611-11; cf. 35 U.S.C. §102(a)). Face...
Xavier Pillet· Zenodo (CERN European Organi...· 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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