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Submissions from 2022

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Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks, Alaa Awad Abdellatif, Amr Mohamed, Aiman Erbad, and Mohsen Guizani

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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

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FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, and Martin Takac

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Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks, Arian Ahmadi, Omid Semiari, Mehdi Bennis, and Méroúane Debbah

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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

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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

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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

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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

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C-HealthIER: A Cooperative Health Intelligent Emergency Response System for C-ITS, Moayad Aloqaily, Haya Elayan, and Mohsen Guizani

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Intelligent Blockchain-Enabled Communication and Services: Solutions for Moving Internet of Things Devices, Ismaeel Al Ridhawi, Moayad Aloqaily, and Fakhreddine (Fakhri) Karray

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RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems, Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, and Mohsen Guizani

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A Survey on Cache-Aided NOMA for 6G Networks, Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, and Arumugam Nallanathan

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On Scaled Methods for Saddle Point Problems, Aleksandr Beznosikov, Aibek Alanov, Dmitry Kovalev, Martin Takac, and Alexander Gasnikov

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Data-Hungry Issue in Personalized Product Search, Wu Bin, Shangsong Liang, and Yuehong Wu

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Decentralized Personalized Federated Min-Max Problems, Ekaterina Borodich, Aleksandr Beznosikov, Abdurakhmon Sadiev, Vadim Sushko, Nikolay Savelyev, Martin Takáč, and Alexander V. Gasnikov

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PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks, Xingjian Cao, Gang Sun, Hongfang Yu, and Mohsen Guizani

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Self-supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels, Irched Chafaa, Romain Negrel, E. Veronica Belmega, and Mérouane Debbah

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Revisiting Parameter-Efficient Tuning: Are We Really There Yet?, Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, and Shangsong Liang

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Implicit Motion Handling for Video Camouflaged Object Detection, Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, and Zongyuan Ge

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Cross-Temporal Snapshot Alignment for Dynamic Multi-Relational Networks, Lvjia Chen and Shangsong Liang

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Relevance Attack on Detectors, Sizhe Chen, Fan He, Xiaolin Huang, and Kun Zhang

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Distributed Learning With Sparsified Gradient Differences, Yicheng Chen, Rick S. Blum, Martin Takac, and Brian M. Sadler

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Vision Transformer Slimming: Multi-Dimension Searching In Continuous Optimization Space, Arnav Chevan, Zhiqiang Shen, Zhuang Liu, Kwangting Cheng, and Eric Xing

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Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients, Zhiyuan Dang, Xiang Li, Bin Gu, and Cheng Deng

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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

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Negational symmetry of quantum neural networks for binary pattern classification, Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, and Eric P. Xing

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Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning, Haya Elayan, Moayad Aloqaily, and Mohsen Guizani

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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

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Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah

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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

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Algorithm for Constrained Markov Decision Process with Linear Convergence, Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander Gasnikov, and Martin Takac

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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

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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

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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

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Accelerated IoT Anti-Jamming: A Game Theoretic Power Allocation Strategy, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani

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A Secure Energy Efficient Scheme for Cooperative IoT Networks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani

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Federated Learning Stability Under Byzantine Attacks, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani

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Towards Secure IoT Networks in Healthcare Applications: A Game Theoretic Anti-Jamming Framework, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, and Mohsen Guizani

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QMIX Aided Routing in Social-Based Delay-Tolerant Networks, Chenchen Han, Haipeng Yao, Tianle Mai, Ni Zhang, and Mohsen Guizani

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Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, and Bin Gu

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Edge-Assisted Solutions for IoT-Based Connected Healthcare Systems: A Literature Review, Vahideh Hayyolalam, Moayad Aloqaily, Oznur Ozkasap, and Mohsen Guizani

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Design and Formal Analysis of a Lightweight MIPv6 Authentication Scheme, Daojing He, Xintong Lu, Xuru Li, Sammy Chan, and Mohsen Guizani

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Firmware Vulnerabilities Homology Detection Based on Clonal Selection Algorithm for IoT Devices, Daojing He, Xiaohu Yu, Tinghui Li, Sammy Chan, and Mohsen Guizani

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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

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Special issue deep learning for multimedia healthcare, M. Shamim Hossain, Josu Bilbao, Diana P. Tobón, Ghulam Muhammad, and Abdulmotaleb Elsaddik

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Learning to generalize Dispatching rules on the Job Shop Scheduling, Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, and Martin Takac

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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

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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

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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

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Local differential Privacy for Belief Functions, Qiyu Li, Chunlai Zhou, Biao Qin, and Zhiqiang Xu

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Classification-Aware Path Planning of Network of Robots, Guangyi Liu, Arash Amini, Martin Takac, and Nader Motee

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Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input, Guangyi Liu, Arash Amini, Martin Takac, and Nader Motee

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Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation, Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, and Efstratios Gavves

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Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things, Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, and Mohsen Guizani

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Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things, Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, and Mohsen Guizani

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An Evolutionary Computing Based Approach for Optimal Target Coverage in Wireless Sensor Networks, Sheikh Nooruddin, Md. Milon Islam, and Fakhreddine (Fakhri) Karray

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Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, and Qiang Zhang

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Cybertwin-Driven Federated Learning Based Personalized Service Provision for 6G-V2X, Sahaya Beni Prathiba, Gunasekaran Raja, Sudha Anbalagan, Sugeerthi Gurumoorthy, Neeraj Kumar, and Mohsen Guizani

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Stochastic Gradient Methods with Preconditioned Updates, Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, and Martin Takac

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Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm For All Personalization Modes, Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Rachael Chezhegov, E.H. Tappenden, Martin Takáč, and Alexander V. Gasnikov

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Learning Temporal Rules from Noisy Timeseries Data, Karan Samel, Zelin Zao, Binghong Chen, Shuang Li, Dharmashankar Subramanian, Irfan A. Essa, and Le Song

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Artificial Intelligence for 6G Networks: Technology Advancement and Standardization, Muhammad Karam Shehzad, Luca Rose, Muhammad Majid Butt, István Z. Kovács, Mohamad Assaad, and Mohsen Guizani

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Machine learning security attacks and defense approaches for emerging cyber physical applications: A comprehensive survey, Jaskaran Singh, Mohammad Wazid, Ashok Kumar Das, Vinay Chamola, and Mohsen Guizani

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QoS Aware Uplink Scheduling for M2M Communication in LTE/LTE-A Network: A Game Theoretic Approach, Upendra Singh, Amit Dua, Neeraj Kumar, and Mohsen Guizani

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SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC, Liangjun Song, Gang Sun, Hongfang Yu, and Mohsen Guizani

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Digital Twin-enabled IoMT System for Surgical Simulation using rAC-GAN, Yonghang Tai, Liqiang Zhang, Qiong Li, Chunsheng Zhu, Victor Chang, Joel J. P. C. Rodrigues, and Mohsen Guizani

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Slicing-Based Software-Defined Mobile Edge Computing in the Air, Jianhang Tang, Jiangtian Nie, Jun Zhao, Yi Zhou, Zehui Xiong, and Mohsen Guizani

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What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, and Kun Zhang

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Attainability and Optimality: The Equalized Odds Fairness Revisited, Zeyu Tang and Kun Zhang

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Multi-Carrier DCSK With Hybrid Index Modulation: A New Perspective on Frequency-Index-Aided Chaotic Communication, Yiwei Tao, Yi Fang, Huan Ma, Shahid Mumtaz, and Mohsen Guizani

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Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, and Cheng Zhang

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A Multi-Channel Interference Based Source Location Privacy Protection Scheme in Underwater Acoustic Sensor Networks, Hao Wang, Guangjie Han, Yun Hou, Mohsen Guizani, and Yan Peng

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Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO, Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, and Méroúane Debbah

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Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, and Shangsong Liang

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Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, and Kun Zhang

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Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites, Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, and Shangsong Liang

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Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, and Bin Gu

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Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing, Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, and Mérouane Debbah

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An Improved Federated Learning Algorithm for Privacy-Preserving in Cybertwin-Driven 6G System, Miao Yang, Ximin Wang, Hua Qian, Yongxin Zhu, Hongbin Zhu, Mohsen Guizani, and Victor Chang

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Molecule Generation for Drug Design: A Graph Learning Perspective, Nian Zu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, and Le Song

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Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, and Kun Zhang

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Guest Editorial: Non-Euclidean Machine Learning, Stefanos Zafeiriou, Michael Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Lio, Joan Bruna, and Marco Gori

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Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey, Shah Zeb, Aamir Mahmood, Syed Ali Hassan, MD. Jalil Piran, Mikael Gidlund, and Mohsen Guizani

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PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning, Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, and Chao Zhang

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Blockchain and Federated Deep Reinforcement Learning Based Secure Cloud-Edge-End Collaboration in Power IoT, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Geng Zhang, Huixia Ding, Shahid Mumtaz, and Mohsen Guizani

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Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, and Eric Xing

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Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, and Eric P. Xing

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Information Fusion for Edge Intelligence: A Survey, Yin Zhang, Chi Jiang, Binglei Yue, Jiafu Wan, and Mohsen Guizani

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STG2P: A two-stage pipeline model for intrusion detection based on improved LightGBM and K-means, Zhiqiang Zhang, Le Wang, Guangyao Chen, Zhaoquan Gu, Zhihong Tian, Xiaojiang Du, and Mohsen Guizani

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ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks, Liang Zhao, Zhenguo Bi, Ammar Hawbani, Keping Yu, Yan Zhang, and Mohsen Guizani

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Proto: Program-Guided Transformer for Program-Guided Tasks, Zelin Zhao, Karan Samel, Binghong Chen, and Le Song

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Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT, Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, and Mohsen Guizani

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On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, and Kun Zhang

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Collaborative Learning-based Network Resource Scheduling and Route Management for Multi-Mode Green IoT, Zhenyu Zhou, Xinyi Chen, Haijun Liao, Zhong Gan, Fei Xiao, Qi Tu, Wenwen Sun, Yun Liu, Shahid Mumtaz, and Mohsen Guizani

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Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids, Zhenyu Zhou, Zehan Jia, Haijun Liao, Wenbing Lu, Shahid Mumtaz, Mohsen Guizani, and Muhammad Tariq

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Multi-agent Reinforcement Learning Aided Service Function Chain Deployment for Internet of Things, Yuchao Zhu, Haipeng Yao, Tianle Mai, Wenji He, Ni Zhang, and Mohsen Guizani

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Offline Reinforcement Learning with Causal Structured World Models, Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, and Yang Yu

Submissions from 2021

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UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection, Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhreddine (Fakhri) Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

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Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, and Martin Takáč

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Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov and Martin Takáč