federated learning

A federated learning framework for Non-IID data : data feature optimization and personalization strategy

medchain: reputation-driven committee-consensus federated learning for trustworthy healthcare blockchains

medchain v0.1.35 (2026-10-08) First public release. medchain implements reputation-driven, committee-consensus federated learning for trustworthy healthcare blockchains. This release finalises the v0.1.34 freeze candidate by completing the author and repository metadata and adding the release date required for archivin...

Inclusive Learning in Decentralized Metaverse Ecosystems

This chapter discusses ways decentralized metaverse classrooms promote inclusive, collaborative and learner-centered education at the same time bringing out challenges of accessibility, privacy, governance and equity. Based on contemporary literature on immersive learning, digital transformation and decentralized educa...

Systemic privacy risks of personal data exposure through conversational large language model agents

Conversational Large Language Model (LLM) agents, deployed quickly, have exposed unprecedented opportunities for personal information, from health data to financial information, to biometric identifiers. This critical enlightenment review investigates general privacy dangers in each of five areas: data leakage and memo...

Early Diagnosis of Chronic Diseases Using AI-Enabled Wearable Devices

Chronic diseases such as cardiovascular disorders, diabetes, respiratory illnesses, neurological conditions, and sleep disorders require early diagnosis to improve patient outcomes and reduce healthcare costs. Recent advances in Artificial Intelligence (AI), wearable sensors, and the Internet of Medical Things (IoMT) h...

Intelligent Wearable Systems for Continuous Healthcare Monitoring and Personalized Medicine

Smart textiles integrated with advanced biosignal processing technologies are transforming healthcare by enabling continuous, real-time, and non-invasive monitoring through wearable systems. These wearable platforms continuously acquire and analyze physiological signals such as ECG, EMG, EEG, respiration, body temperat...

Less is More: Variance-Gated Client Rejection for Faster Convergence in Federated Learning

This paper proposes VGCR-FL, a method that speeds up federated learning by filtering out client updates that deviate strongly from the rest of the cohort. The filter uses a threshold that adapts each round, plus a check on whether the update points in the same direction as the cohort. This keeps useful updates from min...

THE EL-RAKHAWI DOCTRINE OF SELF-GOVERNING UBIQUITOUS SYSTEMS From Technical Infrastructure to Comprehensive Legal Governance

The El-Rakhawi Doctrine of Self-Governing Ubiquitous Systems presents a unified normative-theoretical framework addressing the critical gap between rapidly evolving autonomous computing technologies and inadequate legal governance structures. As ubiquitous systems transition from passive instruments to self-governing a...

THE EL-RAKHAWI SOVEREIGN PROTOCOL (ERSP) An Open Scientific-Technical Framework for Building Ethically Guaranteed, Ecologically Sustainable, and Human-Centric Digital Systems A Foundational Protocol Specification Unifying Formal Verification, Sovereign Data Architecture, Green Computing, Algorithmic Accountability, and Cognitive Dignity into a Single Open Standard for Global Digital Civilization

The El-Rakhawi Sovereign Protocol (ERSP) (DOI: 10.5281/zenodo.23235007) is an open scientific-technical specification designed to build ethically guaranteed, ecologically sustainable, and human-centric digital systems. Analogous to TCP/IP, the ERSP provides a unified five-layer architecture for digital integrity: (1) S...

A Blockchain and AI-Driven Framework for Decentralized Peer-to-Peer Skill Exchange Ecosystems

This chapter, per the authors, introduces the Decentralized Skill Exchange Network (DSEN), a unified sociotechnical framework reconstituting peer-mediated learning on Web3 foundations. Centralized learning platforms consolidate credential authority, behavioral data, and recommendation logic within single institutional...

Finite payload bias and delivery correction in wireless federated learning: experiment code(v1.0.2)

Adds the analysis, audit and figure scripts and verified result tables (analysis/). Training notebook unchanged.

Intelligent Data Analytics and Federated Learning in Vehicular Networks