Computingpowercoin

Analysis of agentic distributed computing model with mobile agents for leader election and minimum spanning tree algorithms, comparing time and memory complexities.

A novel framework integrating DAOs, LLMs, and digital twins for self-managed, operationally and financially autonomous building infrastructure with decentralized governance.

Research on enhancing cloud data security using Transformer Neural Networks and blockchain technology for cyber-attack detection and data integrity in IoT systems.

Analysis of a refined proof-of-work scheme enabling user cooperation for transaction ordering, aiming to replace competitive mining with cooperative strategies and reduce energy consumption.

Splitwise optimizes LLM inference by splitting prompt computation and token generation phases onto separate machines, achieving higher throughput and lower cost/power consumption.

Analysis of HashCore, a novel PoW function designed to be optimally executed on general-purpose processors to democratize cryptocurrency mining and counter ASIC centralization.

Analysis of the Optical Proof of Work (oPoW) paper proposing a photonics-based, energy-efficient alternative to traditional SHA256 mining to address Bitcoin's scalability and environmental issues.

Analysis of a novel blockchain protocol using parallel proof-of-work puzzles to achieve concrete security bounds and faster finality, with comparisons to sequential PoW like Bitcoin.

Analysis of a novel PoW cryptocurrency protocol using DAG-structured voting and targeted reward discounting to improve consistency, throughput, latency, and attack resilience compared to Bitcoin and Tailstorm.

Analysis of HotPoW protocol: a permissionless distributed log using proof-of-work quorums to achieve finality, resolving the inclusiveness-security conflict in Nakamoto consensus.

Analysis of a novel coded distributed computing framework that integrates network topology (fat-tree) to minimize max-link communication load, moving beyond the common-bus assumption.

A comprehensive analysis of the technological gaps between Web 4.0 and Web 3.0, focusing on decentralized intelligence, semantic networks, and blockchain infrastructure.