Skip to content

Category

federated learning

1,721 papers

#reinforcement learning Open access Sep 2026

Longévité OS : Compendium libre des biomarqueurs du vieillissement et des protocoles d'intervention open source

Abstract EN This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes EPC Art. 54(2) (European Patent Convention), Fr...

Pillet Xavier · 0 citations
#reinforcement learning Open access Sep 2026

Feuille de Route IA pour la Prévention, le Traitement et l'Éradication des Maladies Prioritaires

Abstract ENThis document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes (art. L 611-11 CPI / art. 54(2) CBE), 35 U.S.C. §102...

Xavier Pillet · 0 citations

Blockchain-enabled federated learning with spatio-temporal trust and self-evolving governance for IoV intrusion detection

The IoV BCFL+ framework promises scalability linked with self-evolution in security architecture, taking a big step in IoV intrusion detection state and strongly paving way for future intelligent transportation security systems.

K. Charan, R. Vishnukumar · 0 citations
#federated learning Open access Sep 2026

Potentiels d'Innovation pour Déployer une Finance Verte à l'Échelle Globale

Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), Fr...

Xavier Pillet · 0 citations
#federated learning Open access Sep 2026

Blueprint OS Biologique Souverain

Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous Licence Apache 2.0. Il constitue une publication défensive (antériorité) volontaire et entre dans l'état de la technique au sens des législations applicables : art. L 611-11 CPI / art. 54(2) CBE. Le « Bluep...

Xavier Pillet · 0 citations
#federated learning Open access Sep 2026

Blueprint OS Biologique Souverain

Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous Licence Apache 2.0. Il constitue une publication défensive (antériorité) volontaire et entre dans l'état de la technique au sens des législations applicables : art. L 611-11 CPI / art. 54(2) CBE. Le « Bluep...

Xavier Pillet · 0 citations
#federated learning Open access Sep 2026

Rapport sur le déploiement du marché des fullerènes endohédraux Ag@C60

Résumé FRCe document, produit avec l’assistance de ChatGPT 5.2 Thinking et Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre de ce fait dans l’état de la technique au sens des législations applicables : EPC Art. 54(2); French IPC Art. L 611-11; cf....

Xavier Pillet · 0 citations
#diffusion models Open access Sep 2026

Technologies Révolutionnaires pour Étendre l'Espérance de Vie et Personnaliser la Médecine

Abstract ENThis document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French...

Xavier Pillet · 0 citations
#diffusion models Open access Sep 2026

Synthèse exécutive IA de luxe 2025

Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: art. L 611-11 CPI (French Intellectual Property...

Xavier Pillet · 0 citations
#graph neural networks Open access Sep 2026

FedTGNN-SS: leakage-controlled evaluation of federated semi-supervised graph neural networks for gestational and other diabetes prediction (code, protocol and results)

Code, prespecified analysis protocol, leakage unit tests and run-level results accompanying the article 'Do Federated Semi-Supervised Graph Neural Networks Improve Tabular Clinical Prediction? A Leakage-Controlled Evaluation in Diabetes'. No patient data are included; the datasets are available from Kaggle and the UCI...

Gonzalo Daniel · 0 citations
#graph neural networks Open access Sep 2026

Artificial Intelligence in the Energy Sector: A Review of Common Applications

Artificial intelligence (AI) is increasingly being applied across the energy sector to support forecasting, diagnosis, optimization, control, and system planning. This review synthesizes common applications of AI in electricity-centered energy systems, including load and renewable-energy forecasting, electricity-market...

Bibek Ghimire · 0 citations
#graph neural networks Open access Sep 2026

Artificial Intelligence in the Energy Sector: A Review of Common Applications

Artificial intelligence (AI) is increasingly being applied across the energy sector to support forecasting, diagnosis, optimization, control, and system planning. This review synthesizes common applications of AI in electricity-centered energy systems, including load and renewable-energy forecasting, electricity-market...

Bibek Ghimire · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.