我與其他7位國際學者（Huawei Huang, Salil Kanhere, Lei Zhang, Jiawen Kang, Zehui Xiong, Bhaskar Krishnamachari, Elisa Bertino, Sichao Yang）從2021年下半年籌備、并于2022年上半年在期刊 IEEE Journal on Selected Areas in Communications (JSAC) 上舉辦了一期區(qū)塊鏈?？?，該?？念}目為“Intelligent Blockchain for Future Communications and Networking: Technologies, Trends and Applications”。IEEE JSAC 為計算機網(wǎng)絡方向 CCF 推薦 A 類期刊。此次區(qū)塊鏈?？?JSAC 舉辦，旨在面向計算機網(wǎng)絡與區(qū)塊鏈領(lǐng)域的專家征集最新區(qū)塊鏈研究論文，并征集專家們對區(qū)塊鏈如何與通信/網(wǎng)絡計算進行交叉融合的觀點。

經(jīng)過漫長的2輪嚴格審稿，本專刊最終接收了27篇高質(zhì)量論文。隨后，編委編寫了27篇被接收論文的 Guest Editorial（?？木幷甙矗缓蠼y(tǒng)計了被接收論文的作者分布的信息?，F(xiàn)在將錄取的論文列表還有針對這些論文的統(tǒng)計結(jié)果公布出來，希望給區(qū)塊鏈領(lǐng)域的研究者帶來有用的參考信息。

首先是客座編委撰寫的 Guest Editorial，請點擊【此處】前往 ResearchGate 下載，或者到本文附件下載。該 Guest Editorial 主要是用來對所有收錄論文進行分類并對每一篇論文的貢獻進行解讀。編委們把此次27篇論文分為了四個類別：1. Blockchain and Federated Learning；2. Blockchain and IoT; 3. Blockchain Scalability Issues; 4. High-Performance Blockchains。每個類別下，也可以看到收錄的論文的題目。目前這些論文都已經(jīng) online publish。感興趣的讀者可以前往 https://ieeexplore.ieee.org 搜索下載論文原文。

1 BLOCKCHAIN AND FEDERATED LEARNING

• A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains
• InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications
• FRUIT: A Blockchain-Based Efficient and Privacy-Preserving Quality-Aware Incentive Scheme
• A Fast Blockchain-Based Federated Learning Framework with Compressed Communications
• Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing

• Service-Oriented Resource Allocation for Blockchain-Empowered Mobile Edge Computing
• Blockchain-Enhanced Federated Learning Market with Social Internet of Things
• Blockchain-Empowered Efficient Data Sharing in Internet of Things Settings
• Blockchain-Based Data Sharing with Key Update for Future Networks
• BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing
• Incentivizing Proof-Of-Stake Blockchain for Secured Data Collection in UAV-Assisted IoT: A Multi-Agent Reinforcement Learning Approach
• Blockchain-Empowered Collaborative Task Offloading for Cloud-Edge-Device Computing
• Blockchain-Based Trusted Traffic Offloading in Space-Air-Ground Integrated Networks(SAGIN): A Federated Reinforcement Learning Approach
• Blockchain-Enabled Task Offloading with Energy Harvesting in Multi-UAV-Assisted IoT Networks: A Multi-Agent DRL Approach
• Blockchain-Based Offloading Strategy: Incentive, Effectiveness and Security

• Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain
• Meepo: Multiple Execution Environments per Organization in Sharded Consortium Blockchain
•  Scaling Blockchain via Layered Sharding
• Learning-Based Off-Chain Transaction Scheduling in Prioritized Payment Channel Network
• Anti-Collusion Multiparty Smart Contracts for Distributed Watchtowers in Payment Channel Networks
• Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT

4 HIGH-PERFORMANCE BLOCKCHAINS

• Data Propagation for Low Latency Blockchain Systems
• A Storage Sustainability Mechanism with Heterogeneous Miners in Blockchain
• Detecting Arbitrage on Ethereum Through Feature Fusion and Positive-Unlabeled Learning
• A Transaction Cardinality Estimation Approach for QoS-Adjustable Intelligent Blockchain Systems
• TIPS: Transaction Inclusion Protocol with Signaling in DAG-Based Blockchain
• Meta-Regulation: Adaptive Adjustment to Block Size and Creation Interval for Blockchain Systems

以下是我們對本次區(qū)塊鏈?？淖髡呦嚓P(guān)信息的統(tǒng)計。我們將全部被接收論文的作者去重后一共統(tǒng)計到138位作者，其中有72%的作者的單位在中國內(nèi)地，其余作者的單位分布在美國，加拿大，日本，中國香港，新加坡，澳大利亞，法國，愛爾蘭，韓國，中國澳門，挪威等國家與地區(qū)。

地區(qū)分布 vs 作者數(shù)量

圖1：作者來自的地區(qū) vs 作者數(shù)量的比例

圖2：來自不同地區(qū)的作者的數(shù)量

大學/機構(gòu) vs 作者數(shù)量

圖3：來自不同高校/科研機構(gòu)的作者數(shù)量（排名前29的部分）

圖4：大學/機構(gòu) (部分顯示) vs 作者數(shù)量的百分比

可以看出，138位作者的所在大學/科研機構(gòu)呈現(xiàn)較為均勻的分布。其中，來自Tianjin University, Tsinghua University 的作者最多。此外，還有來自以下高?；蛘呖蒲袡C構(gòu)的一位作者參與了某一篇論文：

• Henan Polytechnic University
• Hong Kong University of Science and Technology
• Huawei Technologies Co.
• Liaoning Normal University
• Macquarie University
• Munster Technological University
• Nanjing University of Information Science and Technology
• Northwestern University
• Peking University
• Queen's University
• Shiga University
• Sungkyunkwan University
• Temple University
• The University of Aizu
• Tohoku University
• University of Avignon & LIA/CERI
• University of Electronic Science and Technology of China
• University of Houston
• University of Jordan
• University of Macau
• University of Oslo
• University of Texas at San Antonio
• Xidian University
• Zoom Inc.

本文來自：微信號 Huang-Lab

作者：黃華威，中山大學，軟件工程學院