Submissions from 2022
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
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
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
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu
QMIX Aided Routing in Social-Based Delay-Tolerant Networks, Chenchen Han, Haipeng Yao, Tianle Mai, Ni Zhang, and Mohsen Guizani
Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, and Bin Gu
A Damped Newton Method Achieves Global O(1/K2) and Local Quadratic Convergence Rate, Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander Gasnikov, Peter Richtárik, and Martin Takáč
MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health, Harishma T. Haridas; Mostafa M. Fouda; Zubair Md Fadlullah; Mohamed Mahmoud; Benha University, Faculty of Engineering at Shoubra, Egypt; and Mohsen Guizani
On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities, Sherief Hashima, Zubair Md Fadlullah, Mostafa M. Fouda, Ehab Mahmoud Mohamed, Kohei Hatano, Basem M. Elhalawany, and Mohsen Guizani
Edge-Assisted Solutions for IoT-Based Connected Healthcare Systems: A Literature Review, Vahideh Hayyolalam, Moayad Aloqaily, Oznur Ozkasap, and Mohsen Guizani
A Malicious Domains Detection Method Based on File Sandbox Traffic, Daojing He, Jiayu Dai, Hongile Gu, Shanshan Zhu, Sammy Chan, Jingyong Su, and Mohsen Guizani
Adversarial Attacks for Intrusion Detection Based on Bus Traffic, Daojing He, Jiayu Dai, Xiaoxia Liu, Shanshan Zhu, Sammy Chan, and Mohsen Guizani
Design and Formal Analysis of a Lightweight MIPv6 Authentication Scheme, Daojing He, Xintong Lu, Xuru Li, Sammy Chan, and Mohsen Guizani
An Effective Double-layer Detection System Against Social Engineering Attacks, Daojing He, Xin Lv, Xueqian Xu, Shui Yu, Dawei Li, Sammy Chan, and Mohsen Guizani
Firmware Vulnerabilities Homology Detection Based on Clonal Selection Algorithm for IoT Devices, Daojing He, Xiaohu Yu, Tinghui Li, Sammy Chan, and Mohsen Guizani
Fuzzy Hashing on Firmwares Images: A Comparative Analysis, Daojing He, Xiaohu Yu, Shanshan Zhu, Sammy Chan, and Mohsen Guizani
A Novel Authentication Protocol for IoT-enabled Devices, Daojing He, Ziming Zhao, Sammy Chan, and Mohsen Guizani
Resource Allocation Based on Digital Twin-enabled Federated Learning Framework in Heterogeneous Cellular Network, Yejun He, Mengna Yang, Zhou He, and Mohsen Guizani
Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters, Yihong He, Weibo Cai, Pan Zhou, Gang Sun, Shouxi Luo, Hongfang Yu, and Mohsen Guizani
Natural Compression for Distributed Deep Learning, Samuel Horváth, Chen Yu Ho, Horváth L'udovít, Atal Narayan Sahu, Marco Canini, and Peter Richtárik
Stochastic distributed learning with gradient quantization and double-variance reduction, Samuel Horváth, Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik, and Sebastian Stich
Adaptive Learning Rates for Faster Stochastic Gradient Methods, Samuel Horvath, Konstantin Mishchenko, and Peter Richtárik
FedShuffle: Recipes for Better Use of Local Work in Federated Learning, Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, and Michael Rabbat
Granger Causality using Neural Networks, Samuel Horváth, Malik Shahid Sultan, and Hernando Ombao
Special issue deep learning for multimedia healthcare, M. Shamim Hossain, Josu Bilbao, Diana P. Tobón, Ghulam Muhammad, and Abdulmotaleb Elsaddik
ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING, Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, and Kun Zhang
Latent Hierarchical Causal Structure Discovery with Rank Constraints, Biwei Huang, Charles Low, Feng Xie, Clark Glymour, and Kun Zhang
Action-Sufficient State Representation Learning for Control with Structural Constraints, Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, and Kun Zhang
Masked Generative Adversarial Networks are Data-Efficient Generation Learners, Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, and Eric Xing
Throughput Guarantees for Multi-Cell Wireless Powered Communication Networks with Non-Orthogonal Multiple Access, Liang Huang, Runkai Nan, Kaikai Chi, Qiaozhi Hua, Keping Yu, Neeraj Kumar, and Mohsen Guizani
SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, and Kwang Ting Cheng
Joint Parking and Power Management for Electric Vehicle Edge Computing: A Bilevel Optimization Approach, Xumin Huang, Weifeng Zhong, Jiangtian Nie, Jiawen Kang, Zehui Xiong, Yuan Wu, and Mohsen Guizani
Learning to generalize Dispatching rules on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, and Martin Takac
Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review, Md. Milon Islam, Sheikh Noorduddin, Fakhreddine (Fakhri) Karray, and Ghulam Muhammad
Multimodal Human Activity Recognition for Smart Healthcare Applications, Md. Milon Islam, Sheikh Nooruddin, and Fakhreddine (Fakhri) Karray
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects, Md Milon Islam, Sheikh Nooruddin, Fakhri Karray, and Ghulam Muhammad
Learning Hierarchical Metrical Structure Beyond Measures, Junyan Jiang, Daniel Chin, Yixiao Zhang, and Gus Xia
Exploiting higher-order derivatives in convex optimization methods, Dmitry Kamzolov, Alexander Gasnikov, Pavel Dvurechensky, Artem Agafonov, and Martin Takac
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities, Latif U. Khan, Zhu Han, Walid Saad, Ekram Hossain, Mohsen Guizani, and Choong Seon Hong
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks, Minsu Kim, Walid Saad, Mohammad Mozaffari, and Merouane Debbah
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design, Minsu Kim, Walid Saad, Mohammad Mozaffari, and Mérouane Debbah
Partial Identifiability for Domain Adaptation, Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, and Kun Zhang
Deep-Learning-Based Blockchain for Secure Zero Touch Networks, Randhir Kumar, Prabhat Kumar, Moayad Aloqaily, and Ahamed Aljuhani
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques, Santosh Kumar, Mithilesh Kumar Chaube, Saeed Hamood Alsamhi, Sachin Kumar Gupta, Mohsen Guizani, Raffaele Gravina, and Giancarlo Fortino
Artificial intelligence-driven design of fuel mixtures, Nursulu Kuzhagaliyeva, Samuel Horváth, John Williams, Andre Nicolle, and S. Mani Sarathy
Blockchain and Semi-Distributed Learning-Based Secure and Low-Latency Computation Offloading in Space-Air-Ground-Integrated Power IoT, Haijun Liao, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Shahid Mumtaz, and Mohsen Guizani
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, and Hao Zhang
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters, Mingbao Lin, Liujuan Cao, Yuxin Zhang, Ling Shao, Chia Wen Lin, and Rongrong Ji