我與其他7位國(guó)際學(xué)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(jì)算機(jī)網(wǎng)絡(luò)方向 CCF 推薦 A 類期刊。此次區(qū)塊鏈?？?JSAC 舉辦，旨在面向計(jì)算機(jī)網(wǎng)絡(luò)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(duì)區(qū)塊鏈如何與通信/網(wǎng)絡(luò)計(jì)算進(jìn)行交叉融合的觀點(diǎn)。

經(jīng)過(guò)漫長(zhǎng)的2輪嚴(yán)格審稿，本?？罱K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(jì)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(duì)這些論文的統(tǒng)計(jì)結(jié)果公布出來(lái)，希望給區(qū)塊鏈領(lǐng)域的研究者帶來(lái)有用的參考信息。

首先是客座編委撰寫的 Guest Editorial，請(qǐng)點(diǎn)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(lái)對(duì)所有收錄論文進(jìn)行分類并對(duì)每一篇論文的貢獻(xiàn)進(jìn)行解讀。編委們把此次27篇論文分為了四個(gè)類別：1. Blockchain and Federated Learning；2. Blockchain and IoT; 3. Blockchain Scalability Issues; 4. High-Performance Blockchains。每個(gè)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(duì)本次區(qū)塊鏈?？淖髡呦嚓P(guān)信息的統(tǒng)計(jì)。我們將全部被接收論文的作者去重后一共統(tǒng)計(jì)到138位作者，其中有72%的作者的單位在中國(guó)內(nèi)地，其余作者的單位分布在美國(guó)，加拿大，日本，中國(guó)香港，新加坡，澳大利亞，法國(guó)，愛(ài)爾蘭，韓國(guó)，中國(guó)澳門，挪威等國(guó)家與地區(qū)。

地區(qū)分布 vs 作者數(shù)量

圖1：作者來(lái)自的地區(qū) vs 作者數(shù)量的比例

圖2：來(lái)自不同地區(qū)的作者的數(shù)量

大學(xué)/機(jī)構(gòu) vs 作者數(shù)量

圖3：來(lái)自不同高校/科研機(jī)構(gòu)的作者數(shù)量（排名前29的部分）

圖4：大學(xué)/機(jī)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(xué)/科研機(jī)構(gòu)呈現(xiàn)較為均勻的分布。其中，來(lái)自Tianjin University, Tsinghua University 的作者最多。此外，還有來(lái)自以下高校或者科研機(jī)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(lái)自：微信號(hào) Huang-Lab

作者：黃華威，中山大學(xué)，軟件工程學(xué)院