Submissions from 2022
Adaptive Upgrade of Client Resources for Improving the Quality of Federated Learning Model, Sawsan AbdulRahman, Hakima Ould-Slimane, Rasel Chowdhury, Azzam Mourad, Chamseddine Talhi, and Mohsen Guizani
When Federated Learning Meets Game Theory: A Cooperative Framework to secure IIoT Applications on Edge Computing, Zakaria Abou El Houda, Bouziane Brik, Adlen Ksentini, Lyes Khoukhi, and Mohsen Guizani
FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, and Martin Takac
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks, Arian Ahmadi, Omid Semiari, Mehdi Bennis, and Méroúane Debbah
Time Reversal for 6G Spatiotemporal Focusing: Recent Experiments, Opportunities, and Challenges, George C. Alexandropoulos, Ali Mokh, Ramin Khayatzadeh, Julien de Rosny, Mohamed Kamoun, Abdelwaheb Ourir, Arnaud Tourin, Mathias Fink, and Mérouane Debbah
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces, George C. Alexandropoulos, Kyriakos Stylianopoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, and Mérouane Debbah
Machine learning-based indoor localization and occupancy estimation using 5G ultra-dense networks, Ala'a Al-Habashna, Gabriel Wainer, and Moayad Aloqaily
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging, Naif Alkhunaizi, Dmitry Kamzolov, Martin Takac, and Karthik Nandakumar
A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks, Tejasvi Alladi, Vinay Chamola, Nishad Sahu, Vishnu Venkatesh, Adit Goyal, and Mohsen Guizani
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks, Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Motivating learners in multiorchestrator mobile edge learning: A stackelberg game approach, Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, and Mohsen Guizani
Towards optimal synchronization in NFV-based environments, Zakaria Alomari, Mohamed Faten Zhani, Moayad Aloqaily, and Ouns Bouachir
Special Issue on Internet of Things: Intelligent Networks, Communication and Mobility (AdHocNets 2020), Moayad Aloqaily, Kobbane Abdellatif, and Feng Yan
Towards Blockchain-based Hierarchical Federated Learning for Cyber-Physical Systems, Moayad Aloqaily, Ismaeel Al Ridhawi, Fakhri Karray, and Mohsen Guizani
An adaptive UAV positioning model for sustainable smart transportation, Moayad Aloqaily, Ouns Bouachir, Ismaeel Al Ridhawi, and Anthony Tzes
Digital twin for healthcare immersive services: fundamentals, architectures, and open issues, Moayad Aloqaily, Ouns Bouachir, and Fakhri Karray
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse, Moayad Aloqaily, Ouns Bouachir, Fakhri Karray, Ismaeel Al Ridhawi, and Abdulmotaleb El Saddik
C-HealthIER: A Cooperative Health Intelligent Emergency Response System for C-ITS, Moayad Aloqaily, Haya Elayan, and Mohsen Guizani
On the Role of Futuristic Technologies in Securing UAV-Supported Autonomous Vehicles, Moayad Aloqaily, Rasheed Hussain, Deena Khalaf, Dana Slehat, and Alma Oracevic
Special Issue on Cybersecurity Management in the Era of AI, Moayad Aloqaily, Salil Kanhere, Paolo Bellavista, and Michele Nogueira
Computer Vision-Based Architecture for IoMT Using Deep Learning, Rabiah Al-Qudah, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Intelligent Blockchain-Enabled Communication and Services: Solutions for Moving Internet of Things Devices, Ismaeel Al Ridhawi, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray
Blockchain-Empowered Security and Energy Efficiency of Drone Swarm Consensus for Environment Exploration, Saeed Hamood Alsamhi, Alexey V. Shvetsor, Svetlana V. Shvetsova, Ammar Hawbani, Mohsen Guizani, Mohammed A. Alhartomi, and Ou Ma
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review, Osamah Mohammed Alyasiri, Yu N. Cheah, Ammar Kamal Abasi, and Omar Mustafa Al-Janabi
Recent advances of bat-inspired algorithm, its versions and applications, Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, and Ashraf Elnagar
A Hybrid Artificial Intelligence Model for Detecting Keratoconus, Zaid Abdi Alkareem Alyasseri, Ali H. Al-Timemy, Ammar Kamal Abasi, Alexandru Lavric, Husam Jasim Mohammed, Hidenori Takahashi, Jose Arthur Milhomens Filho, Mauro Campos, Rossen M. Hazarbassanov, and Siamak Yousefi
Towards Smart City Security: Violence and Weaponized Violence Detection using DCNN, Toluwani Aremu, Li Zhiyuan, Reem Alameeri, Moayad Aloqaily, and Mohsen Guizani
A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology and Explainable AI as Future Directions, Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, and Mohsen Guizani
Evaluation of Deep Learning Models in ITS Software-Defined Intrusion Detection Systems, Himanshi Babbar, Ouns Bouachir, Shalli Rani, and Moayad Aloqaily
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence, Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani
Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions, Palak Bagga, Ashok Kumar Das, Vinay Chamola, and Mohsen Guizani
Mutes: Multi-Tenant Switching for 5G Network Slice Revenue Maximization, Venkatraman Balasubramanian, Moayad Aloqaily, and Martin Reisslein
Federated learning review: Fundamentals, enabling technologies, and future applications, Syreen Banabilah, Moayad Aloqaily, Eitaa Alsayed, Nida Malik, and Yaser Jararweh
A Blockchain-enabled and AI-Supported COVID-19 Detection Method, Farzaneh Bannazadeh, Malini Manohar, Rakshit Mitra, Ismaeel Al Ridhawi, Ali Abbas, and Mohsen Guizani
Energy-aware spectrum coordination with intelligent frequency-hopping for software defined networks, Haythem Bany Salameh, Esraa Al Jarrah, Moayad Aloqaily, and Ali Eyadeh
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification, Runxue Bao, Bin Gu, and Heng Huang
A Survey on Cache-Aided NOMA for 6G Networks, Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, and Arumugam Nallanathan
On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, and Alexander Gasnikov
Data-Hungry Issue in Personalized Product Search, Wu Bin, Shangsong Liang, and Yuehong Wu
Decentralized Personalized Federated Min-Max Problems, Ekaterina Borodich, Aleksandr Beznosikov, Abdurakhmon Sadiev, Vadim Sushko, Nikolay Savelyev, Martin Takáč, and Alexander V. Gasnikov
AI-based Blockchain for the Metaverse: Approaches and Challenges, Ouns Bouachir, Moayad Aloqaily, Fakhri Karray, and Abdulmotaleb Elsaddik
FederatedGrids: Federated Learning and Blockchain-Assisted P2P Energy Sharing, Ouns Bouachir, Moayad Aloqaily, Oznur Ozkasap, and Faizan Ali
Guest Editorial Introduction to the Special Section on Collaborative Machine Learning for Next-Generation Intelligent Applications, Wei Cai, Zehui Xiong, Jiawen Kang, Carla Fabiana Chiasserini, Ekram Hossain, and Mohsen Guizani
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks, Xingjian Cao, Gang Sun, Hongfang Yu, and Mohsen Guizani
Self-supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels, Irched Chafaa, Romain Negrel, E. Veronica Belmega, and Mérouane Debbah
Adaptive Optics Compensation for Orbital Angular Momentum Optical Wireless Communications, Huan Chang, Xiaoli Yin, Haipeng Yao, Jingjing Wang, Ran Gao, Xiangjun Xin, and Mohsen Guizani
How Do People View COVID-19 Vaccines: Analyses on Tweets About COVID-19 Vaccines Using Natural Language Processing and Sentiment Analysis, Victor Chang, Chun Yu Ng, Qianwen Ariel Xu, Mohsen Guizani, and M. A. Hossain
Analyzing the Impact of Machine Learning on Cancer Treatments, Victor Chang, Gunji Srilikhita, Qianwen Ariel Xu, M. A. Hossain, and Mohsen Guizani
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning, Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, and Eric Xing
Audio-based Security Techniques for Secure Device-to-Device (D2D) Communications, Daijang Chen, Ning Zhang, Huici Wu, Kuan Zhang, Rongxing Lu, and Mohsen Guizani
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, and Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?, Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, and Shangsong Liang
Implicit Motion Handling for Video Camouflaged Object Detection, Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, and Zongyuan Ge
Cross-Temporal Snapshot Alignment for Dynamic Multi-Relational Networks, Lvjia Chen and Shangsong Liang
Relevance Attack on Detectors, Sizhe Chen, Fan He, Xiaolin Huang, and Kun Zhang
RANCE: a Randomly Centralized and On-Demand Clustering Protocol for Mobile Ad Hoc Networks, Xi Chen, Gang Sun, Tao Wu, Ling Liu, Hongfang Yu, and Mohsen Guizani
Distributed Learning With Sparsified Gradient Differences, Yicheng Chen, Rick S. Blum, Martin Takac, and Brian M. Sadler
Vision Transformer Slimming: Multi-Dimension Searching In Continuous Optimization Space, Arnav Chevan, Zhiqiang Shen, Zhuang Liu, Kwangting Cheng, and Eric Xing
Context-Aware Block Net for Small Object Detection, Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, and Mingliang Xu
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models, Haoyue Dai, Peter Spirtes, and Kun Zhang
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients, Zhiyuan Dang, Xiang Li, Bin Gu, and Cheng Deng
Recent Theoretical Advances in Non-Convex Optimization, Marina Danilova, Pavel Dvurechensky, Alexander Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, and Innokentiy Shibaev
RLPROMPT: Optimizing Discrete Text Prompts With Reinforcement Learning, Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric Xing, and Zhiting Hu
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, and Bin Gu
Negational symmetry of quantum neural networks for binary pattern classification, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, and Eric P. Xing
CRACAU: Byzantine Machine Learning Meets Industrial Edge Computing in Industry 5.0, Anran Du, Yicheng Shen, Qinzi Zhang, Lewis Tseng, and Moayad Aloqaily
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization, Pavel Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, and Alexander Gasnikov
Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning, Haya Elayan, Moayad Aloqaily, and Mohsen Guizani
Decentralized IoB for Influencing IoT-based Systems Behavior, Haya Elayan, Moayad Aloqaily, Fakhreddine (Fakhri) Karray, and Mohsen Guizani
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior, Haya Elayan, Moayad Aloqaily, Fakhri Karray, and Mohsen Guizani
Facial-sketch Synthesis: A New Challenge, Deng Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, and Luc Van Gool
SR-DCSK Cooperative Communication System with Code Index Modulation: A New Design for 6G New Radios, Yi Fang, Wang Chen, Pingping Chen, Yiwei Tao, and Mohsen Guizani
Design of a Reconfigurable Intelligent Surface-Assisted FM-DCSK-SWIPT Scheme with Non-linear Energy Harvesting Model, Yi Fang, Yiwei Tao, Huan Ma, Yonghui Li, and Mohsen Guizani
Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah
Factored Adaptation for Non-stationary Reinforcement Learning, Fan Feng, Biwei Huang, Kun Zhang, and Sara Magliacane
A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing With Forest-fire Detection Use-case, Moustafa M. Fouda, Sadman Sakib, Zubair Md. Fadlullah, Nidal Nasser, and Mohsen Guizani
Concentric Spherical Neural Network for 3D Representation Learning, James Fox, Bo Zhao, Beatriz Gonzalez Del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, and Le Song
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, and Howard Bondell
Stochastic Bilevel Distributed Optimization over a Network, Hongchang Gao, Bin Gu, and My T. Thai
Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, and Bin Gu
The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, and Bin Gu
Algorithm for Constrained Markov Decision Process with Linear Convergence, Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander Gasnikov, and Martin Takac
When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks, Shimin Gong, Jiaye Lin, Beichen Ding, Dusit Niyato, Dong In Kim, and Mohsen Guizani
A Game Theoretic Analysis for Power Management and Cost Optimization of Green Base Stations in 5G and Beyond Communication Networks, Praveen Gorla, Anuj Deshmukh, Sandeep Joshi, Vinay Chamola, and Mohsen Guizani
Decentralized Renewable Resource Redistribution and Optimization for Beyond 5G Small Cell Base Stations: A Machine Learning Approach, Praveen Gorla, Mohammad Saif, Vinay Chamola, Biplab Sikdar, and Mohsen Guizani
A Novel Framework of Federated and Distributed Machine Learning for Resource Provisioning in 5G and Beyond using Mobile-Edge SCBS, Praveen Gorla, Keerthivasan V, Vinay Chamola, and Mohsen Guizani
Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
A Secure Energy Efficient Scheme for Cooperative IoT Networks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Federated Learning Stability Under Byzantine Attacks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Robust Decentralized Federated Learning Using Collaborative Decisions, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Towards Secure IoT Networks in Healthcare Applications: A Game Theoretic Anti-Jamming Framework, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani
Towards Fairer Classifier via True Fairness Score Path, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang
Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, and Heng Huang
Multiagent Reinforcement Learning-Based Semi-Persistent Scheduling Scheme in C-V2X Mode 4, Bo Gu, Weixiang Chen, Mamoun Alazab, Xiaojun Tan, and Mohsen Guizani
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data, Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint, Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, and Dacheng Tao
Cross-modal propagation network for generalized zero-shot learning, Ting Guo, Jianqing Liang, Jiye Liang, and Guo Sen Xie
Deep Information Fusion-Driven POI Scheduling for Mobile Social Networks, Zhiwei Guo, Keping Yu, Ali Kashif Bashir, Di Zhang, Yasser D. Al-Otaibi, and Mohsen Guizani
Deep Distributed Learning-based POI Recommendation Under Mobile Edge Networks, Zhiwei Guo, Keping Yu, Neeraj Kumar, Wei Wei, Shahid Mumtaz, and Mohsen Guizani