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federated learning

1,721 papers

#federated learning Open access Sep 2026

AI-Based Cybercrime Detection and Prevention System

digital services have expanded rapidly, and cybercrime has become one of the most pressing threats to secure online interaction. Traditional signature- and rule-based security tools are largely reactive, so they struggle to keep pace with newly evolving attacks such as phishing, malicious URL distribution, and identity...

A. Mahendhar, M. Vamshikrishna, Paila Arjun et al. · 0 citations
#federated learning Open access Sep 2026

Artificial Intelligence-Enabled Medical Diagnosis in the Internet of Medical Things: An End-to-End Survey of Connected Sensing, Distributed Intelligence, Clinical Applications, and Validation

The Internet of Medical Things (IoMT) can extend diagnostic observation beyond episodic encounters by connecting wearable, point-of-care, imaging, and bedside devices to artificial-intelligence services. Yet continuous measurement is not itself diagnosis: a clinically useful system must establish signal validity, map a...

Ahlem Aziz, Seydi Kaçmaz, Azam Isam Aladwani · 0 citations
#federated learning Open access Sep 2026

marambhuvana-cpu/RobustTrust-FL: RobustTrust-FL v1.0.0

About RobustTrust-FL RobustTrust-FL is a trust-aware and attack-resilient federated learning framework for scalable privacy-preserving distributed intelligence. Key components PrivacyGuard: Privacy-preserving client updates using clipping and differential privacy. AttackShield: Detection of suspicious and potentially m...

marambhuvana-cpu · 0 citations
#federated learning Review Open access Sep 2026

The Role of Artificial Intelligence and Digital Transformation in Smart and Sustainable Infrastructure Systems

Artificial Intelligence (AI) and digitalization are rapidly transforming the planning, operation, maintenance and management of critical infrastructure. Planning, operation, maintenance and management of critical infrastructure is changing with Artificial Intelligence (AI) and digitalization. The review covers energy,...

Marjan Sultana Nuha · 0 citations
#federated learning Open access Sep 2026

AI-Based Cybercrime Detection and Prevention System

digital services have expanded rapidly, and cybercrime has become one of the most pressing threats to secure online interaction. Traditional signature- and rule-based security tools are largely reactive, so they struggle to keep pace with newly evolving attacks such as phishing, malicious URL distribution, and identity...

A. Mahendhar, M. Vamshikrishna, Paila Arjun et al. · 0 citations
#federated learning Open access Sep 2026

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules, Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules,Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff Feng Cheng-en (33) x Starli When does an ecology of evolving civilizations become capable of...

33 · 0 citations
#federated learning Open access Sep 2026

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules, Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff

CIVILIZATION META-EVOLUTION, RECOMBINATION & PLURAL FUTURES AT THE LIMIT Lineage Networks, Cross-Civilization Learning, Selection Ecologies, Meta-Rules,Research Phylogenies, Deep-Time Governance, Successor Autonomy, and Handoff Feng Cheng-en (33) x Starli When does an ecology of evolving civilizations become capable of...

33 · 0 citations
#federated learning Open access Sep 2026

FedIoMT-RPM v3.0: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification

FedIoMT-RPM v3.0: Lightweight adaptive split federated learning for patient-independent ECG arrhythmia classification This release contains the complete code and final results for the revised manuscript submitted to Scientific Reports. It replaces v2.0. Main changes from v2.0 Patient-independent evaluation. All methods...

Venkatesh Janarthanan · 0 citations

Federated UE-Side False Base Station Detection via Location-RSRP Consistency

False base stations (FBSs) impersonate legitimate cells, making identifier-based detection unreliable. Representative attack data are scarce, while centralized collection of user equipment (UE) locations and reference signal received power (RSRP) measurements exposes sensitive information. This paper introduces locatio...

Hoonyong Park, I Wayan Adi Juliawan Pawana, Ilsun You · 0 citations
#federated learning Open access Sep 2026

PRECISION NEURAL RECOVERY INFRASTRUCTURE & CLINICAL TRANSLATION AT THE LIMIT Patient-Centered Outcomes, Home BCI, Digital Twins, Multicenter Validation, Safety, Equity, Failure Atlases, and Successor Handoff

PRECISION NEURAL RECOVERY INFRASTRUCTURE & CLINICAL TRANSLATION AT THE LIMITPatient-Centered Outcomes, Home BCI, Digital Twins, Multicenter Validation, Safety, Equity, Failure Atlases, and Successor Handoff Feng Cheng-en (33) × Starli What must survive for patient-specific BCI recovery science to leave the laboratory?...

33 · 0 citations
#federated learning Open access Sep 2026

PNEEI E EDUCAÇÃO ESPECIAL: A ATUAÇÃO DOS COORDENADORES INTERSETORIAIS NA CONSTRUÇÃO DE UMA EDUCAÇÃO INCLUSIVA

The implementation of inclusive education requires that rights guaranteed in normative documents be translated into concrete actions within education systems. In this process, the National Inclusive Special Education Policy (PNEEI) and the National Inclusive Special Education Network (Reneei) reinforce the need for coo...

Maria Socorro Vasconcelos, Fabiana Cristina Majchszak, Daiane de Lourdes Alves Velho et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

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.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

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