Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging the superposition property of the wireless medium, enabling bandwidth-efficient learning via simultaneous transmission of model updates. In this paper, we consider a federated learning system over a heterogeneous edge net...
Simulation results confirm that integrating EE with edge computing significantly improves the trade-off between inference accuracy and latency, achieving up to 212% improvement in the average task completion ratio compared to edge computing systems without EE, under the considered simulation settings.
Simone Angelucci, R. Valentini, M. Levorato et al.· Comput. Networks· 0 citations
Plant health monitoring is one of the key components of precision agriculture for timely interventions to maximize crop output and utilization of resources. This chapter describes a novel, smart, wireless, and energy-efficient plant health monitoring system based on the M5Stamp-Pico module of M5Stack. The system uses R...
Udit Mamodiya, Indra Kishor, Priya Goyal et al.· Apple Academic Press eBooks· 0 citations
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Notions of graph similarity provide alternative perspective on the graph isomorphism problem and vice-versa. In this paper, we consider measures of similarity arising from mismatch norms as studied in Gervens and Grohe: the edit distance $δ_{\mathcal{E}}$, and the metrics arising from $\ell_p$-operator norms, which we...
He Sun, Danny Vagnozzi· Discrete Mathematics & Theor...· 0 citations
SUBJECT: Portfolio Submission for Contingency Monetization Evaluation: GenSi Holdings LLC (Sovereign June 2026 Prior Art Anchor) ATTN: IP Acquisition & Monetization Analytics Team, This communication serves as a formal submission of a high-value, multi-vertical technology portfolio managed under GenSi Holdings LLC and...
Stephan Richard Lee, Stephan Richard Lee· Zenodo (CERN European Organi...· 0 citations
SUBJECT: Portfolio Submission for Contingency Monetization Evaluation: GenSi Holdings LLC (Sovereign June 2026 Prior Art Anchor) ATTN: IP Acquisition & Monetization Analytics Team, This communication serves as a formal submission of a high-value, multi-vertical technology portfolio managed under GenSi Holdings LLC and...
Stephan Richard Lee, Stephan Richard Lee· Zenodo (CERN European Organi...· 0 citations
rule: Map each of the 240 E8 roots to the 120 vertices of the 600-cell (each vertex corresponds to a pair of opposite roots). Compute edge-length ratios between adjacent vertices; classify ratios into families (phi, sqrt(2), etc.). source: rlab #269 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
High post-harvest losses, significant greenhouse gas emissions, and system inefficiencies in conventional refrigeration and monitoring systems all provide major problems for the worldwide cold chain for perishable items. This chapter looks at how Artificial Intelligence (AI), Internet of Things (IoT) sensors, digital t...
Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...
Brian Guarino· Zenodo (CERN European Organi...· 0 citations
Forest fires pose severe threats to ecological environments and public safety due to their sudden onset and rapid spread. This paper presents a forest fire patrol and assisted identification system based on a quadrotor UAV platform, integrating a dual-sensor payload comprising a 30× optical zoom visible-light camera an...
Qiang Song, Chen-Xin Liu, Wei-Jian Kuang et al.· International Conference on...· 0 citations
A tridiagonal matrix has n-1 entries off the diagonal, and in d dimensions the density exponent for which a shell’s mass does not depend on the radius is d-1. Both look like “one less”. This paper asks whether the two share a root. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theor...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
