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federated learning

1,703 papers

#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
#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 learning Open access Sep 2026

Adaptive uncertainty-aware hybrid digital twin architecture for predictive diagnostics of ship power plants

Reliable prediction of the technical condition and remaining useful life of ship power plants (SPPs) remains a challenging task because operating conditions continuously change, degradation mechanisms are highly nonlinear, and sensor measurements are inevitably affected by uncertainty. Although hybrid digital twins (HD...

V. Vychuzhanin, A. Vychuzhanin · 0 citations
#federated learning Open access Sep 2026

Artifical Intelliegence And Machine Learning in Solid Dosage Formulation

Solid dosage forms, tablets, capsules, pellets, and powders, remain the most widely manufactured medicines worldwide, yet their development has long relied on slow, trial-and-error experimentation that contributes to the 10–15 year, multi-billion-dollar cost of bringing a new drug to market. This review examines how ar...

Pratik Patel*, Preeti Sah, Zahid Husain, Shivanshu Dwivedi, Rajveer Singh Chauhan, Nimita Manocha · 0 citations
#federated learning Open access Sep 2026

FedEye: Detecting Diabetic Eye Diseases using Federated Deep Learning and Handling Data Heterogeneity with Fedprox Aggregation

Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), and glaucoma are significant ocular diseases that severely impair vision and require early automated detection for effective clinical management, but the traditionally adopted centralised deep learning based detection poses serious privacy problems for the partic...

Seema Gulati, Kalpna Guleria, Nitin Goyal et al. · 0 citations
#federated learning Review Open access Sep 2026

Cyber Attacks in the Internet of Things (IoT) and Intelligent Defense Mechanisms

The Internet of Things (IoT) has connected billions of physical objects to the internet, enabling smarter homes, manufacturing, critical infrastructure, transportation, and healthcare. However, IoT ecosystems are increasingly vulnerable to cyberattacks due to the growing number of resource-limited devices, weak authent...

Esraa Ward, Seyed Amin Hosseini Seno · 0 citations
#federated learning Open access Sep 2026

TRI-COUPLING SYSTEM EVOLUTION THEORY III: META-EVOLUTION, ECOLOGY LEARNING & SELF-REVISING RESEARCH GRAMMARS AT THE LIMIT

TRI-COUPLING SYSTEM EVOLUTION THEORY III:META-EVOLUTION, ECOLOGY LEARNING & SELF-REVISING RESEARCH GRAMMARS AT THE LIMIT Evolutionary Memory, Rules for Changing Rules, Plural Selection,Research Phylogenies, Unknown Cartography, Human-AI Coevolution,Deep-Time Method Systems, and Successor Handoff Feng Cheng-en (33) x St...

33 · 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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