Federated learning (FL) enables collaborative training of medical image segmentation models without sharing raw patient data, yet existing approaches assume a homogeneous compute budget across institutions, limiting participation of low-resource sites. We propose Fed-ADApt, a depth-adaptive federated framework for UNet...
Abhijeet Parida, Zhi-Fan Jiang, Pooneh Roshanitabrizi et al.· 0 citations
IoT Explained: Smart Systems, Connected Devices & Intelligent Technologies is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, wireless network, edge computing, and cybersecurity principles governing distributed smart environments. Serving as an integral core module within the...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
Rank Access and Closure Depth in the Relation-Layer Cohomology of Token Arenas A refuted conjecture, a refuted mechanism, and two species of invariant harmonic residue Driven by Dean Kulik October 2026 Abstract A Kdisj-type relation layer over a token arena assigns cohomology to a graph by declaring which closed loops...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
This technical whitepaper provides an empirical evaluation and architectural benchmark of on-device deep learning inference within real-time interactive game simulations, focusing on the Unity Sentis framework and modern Edge AI paradigms (2026). Traditional cloud-based AI inference architectures introduce non-determin...
Abdulrahman Maslmany· Zenodo (CERN European Organi...· 0 citations
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We give exact results for several observables of Kerr black holes that have so far been computed numerically, by fits, or only at isolated parameter values. (i) The area of the shadow seen by an equatorial observer, for every spin, in complete elliptic integrals, together with its small-spin series and its near-extrema...
Jacob Goodchild· Zenodo (CERN European Organi...· 0 citations
Version 11, prepared for submission to Physica A (version 11 merges a professional language edit; the nearest-neighbour and BKT conclusions are stated for the parameters and resolution tested). A two-dimensional rotor lattice whose ordering couplings are removed by an order-dependent flux and restored by repair. The me...
Leon Sandler· Zenodo (CERN European Organi...· 0 citations
Embedded Systems & Microelectronics Explained: Design & Applications is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, physical packaging, real-time firmware, and power optimization principles governing edge compute nodes. Serving as an integral core module within the Electr...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
Version 10, revised for Physica A. A two-dimensional rotor lattice whose ordering couplings are removed by an order-dependent flux and restored by repair. The mean-field reduction is bistable above a computed feedback threshold; it includes a kinetic Monte Carlo study designed to separate static from rate-dependent hys...
Leon Sandler· Zenodo (CERN European Organi...· 0 citations
IoT Explained: Smart Systems, Connected Devices & Intelligent Technologies is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, wireless network, edge computing, and cybersecurity principles governing distributed smart environments. Serving as an integral core module within the...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
FINDING: The Harborth graph — the smallest known 4-regular planar unit-distance graph on 34 vertices — has an analytical coordinate embedding whose minimal polynomials are now explicitly derived, revealing deep ties to crystallographic symmetry and algebraic number theory. | MATH: Harborth graph: 34 vertices, 68 edges,...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
This technical whitepaper provides an empirical evaluation and architectural benchmark of on-device deep learning inference within real-time interactive game simulations, focusing on the Unity Sentis framework and modern Edge AI paradigms (2026). Traditional cloud-based AI inference architectures introduce non-determin...
Abdulrahman Maslmany· Zenodo (CERN European Organi...· 0 citations
Embedded Systems & Microelectronics Explained: Design & Applications is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, physical packaging, real-time firmware, and power optimization principles governing edge compute nodes. Serving as an integral core module within the Electr...
Prep4Uni.Online· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
