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federated learning

2,057 papers

#federated learning Open access Sep 2026

Rapport Stratégique : Dispositif BSCC-V1 pour la Préservation de l'Intégrité Épigénétique

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
#federated learning Open access Sep 2026

🤖 AI, DIGITAL TWINS & COMPUTATIONAL LONGEVITY AT THE LIMIT Artificial Intelligence, Personal Digital Twins, Causal Simulation, Single-Cell Models, Virtual Trials, and the Future of Computational Healthspan Engineering

🤖 AI, DIGITAL TWINS & COMPUTATIONAL LONGEVITY AT THE LIMIT Artificial Intelligence, Personal Digital Twins, Causal Simulation, Single-Cell Models, Virtual Trials, and the Future of Computational Healthspan Engineering Can we test part of a 30-year longevity intervention before waiting 30 years? This flagship research...

33 · 0 citations
#federated learning Open access Sep 2026

From Fragmented Research to Cumulative Strategic Knowledge: A Directed Research Architecture for Federating Scientifically Autonomous Projects

CONCEPT NOTE Directed Research Architecture (DRA): From Fragmented Research to Cumulative Strategic Knowledge Complex strategic problems increasingly generate research across multiple disciplines, institutions and methodological traditions. However, the accumulation of individual studies does not necessarily produce cu...

JAMEL DOURA · 0 citations
#federated learning Open access Sep 2026

Evolutionary resilience in open multiagent optimization: From preset trust to emergent defense

Can defensive behavior in multiagent optimization emerge through evolutionary competition rather than being pre-installed? We study this question in open, adversarial environments where agents can enter, leave, or be compromised, and where the global optimum drifts continuously as the agent pool changes, thereby creati...

Haoran Zhang, Lining Xing · 0 citations
#federated learning Review Open access Sep 2026

Poisoning resilient federated learning for secure internet of medical things a systematic review

The current trend of the Internet of Medical Things (IoMT) has facilitated intelligent healthcare, including real-time monitoring, remote diagnosis, and data-driven clinical decision support. This substantially increases the attack surfaces of medical cyber–physical systems. As a privacy-conserving paradigm, Federated...

Arooj Unbreen, Huma Naeem, Syed Rizwan Hassan et al. · 0 citations
#federated learning Dataset Open access Sep 2026

AutoFL: Experimental Results and Figures

Raw results and figures for the paper Schema-Augmented LLM Prompting for Converting ML Training Scripts to Federated Learning Clients (ACM TOSEM, resubmission 2026). v2.0 adds the corrected reruns (validator stage classification, sample-weighted FedAvg simulations, overall and macro accuracy) and the resubmission exper...

Yen‐Jung Chiu · 0 citations
#federated learning Open access Sep 2026

NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation

🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation Can neural representations generalize without erasing individual biol...

33 · 0 citations
#federated learning Open access Sep 2026

VertiMosaic: CPU-Only Cross-Industry Vertical Federated Learning for Privacy-Constrained Tabular Machine Learning

VertiMosaic v0.1.0 First public PyPI release of VertiMosaic, a CPU-first vertical federated learning research framework for heterogeneous tabular data. Install: pip install vertimosaic Hugging Face Dataset: https://huggingface.co/datasets/sauravsingla08/VertiMosaic-VFL-Benchmark Hugging Face Space: https://huggingface....

Saurav Singla · 0 citations
#federated learning Open access Sep 2026

Rapport stratégique : Ir@C60 en médecine régénérative et longévité

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 dans l’état de la technique au sens des législations applicables (EPC Art. 54(2); French IPC Art. L 611-11; cf. 35 U.S.C. §1...

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

🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation

🤖 NEURAL FOUNDATION MODELS, GENERALIZATION & PERSONAL REPRESENTATION AT THE LIMIT Foundation Models, Cross-Subject Transfer, Personal Neural Models, Brain-State Embeddings, Uncertainty, and the Emerging Science of Generalizable Neural Representation Can neural representations generalize without erasing individual biol...

33 · 0 citations
#federated learning Open access Sep 2026

From Fragmented Research to Cumulative Strategic Knowledge: A Directed Research Architecture for Federating Scientifically Autonomous Projects

CONCEPT NOTE Directed Research Architecture (DRA): From Fragmented Research to Cumulative Strategic Knowledge Complex strategic problems increasingly generate research across multiple disciplines, institutions and methodological traditions. However, the accumulation of individual studies does not necessarily produce cu...

JAMEL DOURA · 0 citations
#federated learning Dataset Open access Sep 2026

AutoFL: Experimental Results and Figures

Raw results and figures for the paper Schema-Augmented LLM Prompting for Converting ML Training Scripts to Federated Learning Clients (ACM TOSEM, resubmission 2026). v2.0 adds the corrected reruns (validator stage classification, sample-weighted FedAvg simulations, overall and macro accuracy) and the resubmission exper...

Yen‐Jung Chiu, Chao-Chun Chuang · 0 citations

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

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