AF-EdgeRL is proposed, a novel Byzantine-resilient Asynchronous Federated Reinforcement Learning framework tailored for distributed resource allocation and dynamic task offloading and establishes theoretical convergence guarantees under non-convex reinforcement learning objectives.
Daniel Merrow, Tember L. Nair, Lucas Farnandez· International Journal of App...· 0 citations
Executive Overview This consolidated release of Paper X unifies empirical findings, mathematical foundations, and real-world implementation proofs for AuraOS—a local-first, zero-extraction computational architecture designed to eliminate recurring cloud SaaS overhead and API token extraction. By decoupling spatial reco...
Dallas Courchene· Zenodo (CERN European Organi...· 0 citations
The deflated-Welch statistic: a closed-form, guaranteed-level test for heteroscedastic one-way ANOVA William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10.5281/zenodo.21908169. Wh...
William Dwyer· Zenodo (CERN European Organi...· 4 citations
A guaranteed-coverage confidence interval for the two-sample standardized effect William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): minted on first publication. What this is The r...
William Dwyer· Zenodo (CERN European Organi...· 0 citations
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This record contains the corrected deterministic implementation freeze for HLV-R-MECH-001. The controlling scientific protocol is: Krūger, M. (2026). HLV-R-MECH-001: Prospective Triangle-Matched Mechanism Test of the Surviving Degree-Preserving Rewire Spectral Residual — Pre-Execution Protocol Freeze v0.1.0. Zenodo. DO...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
This record contains Rigorous Consolidated Core v2.1.5 of the Helix–Light–Vortex Framework (HLV). HLV is positioned in this revision as: Helix–Light–Vortex Framework (HLV) A Cut-and-Project and Incidence-Spectral Research Programme. The term “Framework” denotes the existing mathematical architecture and provenance of t...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
Wireless networks are undergoing a paradigm shift with the advent of 6G, in which artificial intelligence (AI) is becoming a necessity at the physical layer for tasks like spectrum sensing, interference mitigation, and adaptive resource allocation. The Open Radio Access Network (O-RAN) architecture enables this transit...
Federated learning (FL) enables distributed clients to collaboratively train machine learning models without sharing raw data, making it well-suited for edge computing environments. However, deploying FL at the edge introduces critical challenges, including potential model poisoning by malicious clients or edge servers...
Xiaodong Shen, Chang Xu, Liehuang Zhu et al.· IEEE Internet of Things Jour...· 0 citations
An Evaluation Agent, middleware that combines Natural Language Inference factual verification, a five-signal poison detector with relevance-weighted aggregation, and a Trust Index is proposed, which reliably blocks instruction injection of unsafe advice while contradiction and subtle semantic weakening remain hard.
Balkrishna Giri, M. Hasan, Jussi Rasku et al.· 0 citations
Paper 89 does not claim that a full continuum cosmology, a complete quantum-gravity phenomenology, or a derivation of the exact constants of nature has been achieved from first principles. It does show that the verified QGEFT repository now reproduces, in one self-contained Monte-Carlo experiment, the algorithmic core...
Yaniv Cohen· Zenodo (CERN European Organi...· 0 citations
A Python harness for measuring how well language-model agents resist indirect prompt injection. It wraps the AgentDojo task environments and adds a frozen, hashed measurement protocol, joint reporting of task utility alongside attack resistance, cluster-bootstrap confidence intervals over task pairs, and a confirmed/pr...
Imran Ahamed· Zenodo (CERN European Organi...· 0 citations
Summary Catastrophic climate destabilization, topsoil loss, computational energy strain, and chronic disease burdens demand scalable models that unify rapid atmospheric carbon drawdown with ecological, energetic, and macroeconomic resilience. Here, I present a multi-system techno-ecological framework demonstrating a vi...
David K Cundiff· Zenodo (CERN European Organi...· 0 citations
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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