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Future Generation Computer Systems, Volume 160
Volume 160, 2024
- Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran:
LLM4VV: Developing LLM-driven testsuite for compiler validation. 1-13 - Muhammad Babar, Basit Qureshi, Anis Koubaa:
Review on Federated Learning for digital transformation in healthcare through big data analytics. 14-28 - Huiying Liu, Xiangzheng Fu, Haiting Chen, Jun Shang, Haoyu Zhou, Wang Zhe, Xiaojun Yao:
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders. 29-39 - Amir M. Hajisadeghi, Mahmoud Momtazpour, Hamid R. Zarandi:
Approx-IMC: A general-purpose approximate digital in-memory computing framework based on STT-MRAM. 40-53 - Shahrokh Heidari, Michael J. Dinneen, Patrice Delmas:
Quantum Annealing for Computer Vision minimization problems. 54-64 - James M. Willenbring, Gursimran Singh Walia:
The utility of complexity metrics during code reviews for CSE software projects. 65-75 - Carlos Núñez-Gómez, Martijn de Vos, Jérémie Decouchant, Johan Pouwelse, María Blanca Caminero, Carmen Carrión:
Light-HIDRA: Scalable and decentralized resource orchestration in Fog-IoT environments. 76-91 - Boris Sedlak, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar:
Equilibrium in the Computing Continuum through Active Inference. 92-108 - Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou:
Multi-source data integration for explainable miRNA-driven drug discovery. 109-119 - Sarah Alhozaimy, Daniel A. Menascé, Massimiliano Albanese:
Resilience and performance quantification of dynamic reconfiguration. 120-130 - Thara Angskun, Karn Na Sritha, Arthit Srithong, Neunghathai Khopolklang, Sorachai Kamollimsakul, Thawatphong Phithak, Jitimon Angskun:
Using big data to assess an affective domain for distance education. 131-139 - Bowen Li, Xiaoshe Dong, Jue Mi, Yufei Wang, Longxiang Wang, Weiduo Chen:
Flimm: Foreground traffic aware data migration manager for distributed storage system. 140-153 - Carlos Guerrero, Isaac Lera, Carlos Juiz:
Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization. 154-170 - Tianyu He, Peiyi Han, Shaoming Duan, Zirui Wang, Wentai Wu, Chuanyi Liu, Jianrun Han:
Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning. 171-184 - Yalan Jiang, Dan Wang, Bin Song, Shengyang Luo:
HDHRFL: A hierarchical robust federated learning framework for dual-heterogeneous and noisy clients. 185-196 - Xueyi Zhou, Dong-Kyu Chae, Sang-Chul Lee:
Practical algorithms for weakly flexible job scheduling for smart mold component process. 197-211 - Mahdi Bonyani, Ahmad Rad:
FSVNet: Federated Self-driving Vehicle Network based on decomposition global convergence. 212-222 - Vasileios Katevas, Georgios Fatouros, Dimosthenis Kyriazis, George Kousiouris:
Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelines. 223-237 - Xue Yang, Minjie Ma, Xiaohu Tang:
An efficient privacy-preserving and verifiable scheme for federated learning. 238-250 - Alejandro Carnero, Cristian Martín, Gwanggil Jeon, Manuel Díaz:
Online learning and continuous model upgrading with data streams through the Kafka-ML framework. 251-263 - Daniel Claudino, Dmitry I. Lyakh, Alexander J. McCaskey:
Parallel quantum computing simulations via quantum accelerator platform virtualization. 264-273 - Junliang Liu, Xinbo Zhao, Yuran Jia, Sicong Wang, Tianyi Zhao:
HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network. 274-282 - Menglong Zhang, Yue Hong, Lian Shen, Shiyu Xu, Yanni Xu, Xinyi Zhang, Juan Liu, Xiangrong Liu:
A heterogeneous graph neural network with automatic discovery of effective metapaths for drug-target interaction prediction. 283-294 - Cuihua Yang, Fangning Yang, Quanqing Xu, Yongquan Zhang, Junqing Liang:
SolsDB: Solve the Ethereum's bottleneck caused by storage engine. 295-304 - Yi Xu, Tianyuan Liu, Yu Yang, Juanjuan Kang, Liping Ren, Hui Ding, Yang Zhang:
ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation. 305-315 - Youhan Sun, Guanyu Qiao, Bo Gao, Yang Li:
DAPM-CDR: A domain adaptation prompting model for drug response prediction. 316-324 - Retraction Notice to "An Enhanced Consortium Blockchain Diversity Mining Technique for IoT Metadata Aggregation" [Future Generation Computer Systems 152 (2023) 239-253] / 7046. 325
- Minh-Ngoc Tran, Young-Han Kim:
Concurrent service auto-scaling for Knative resource quota-based serverless system. 326-339 - Nguyen Van Thieu, Ngoc Hung Nguyen, Ali Asghar Heidari:
Feature selection using metaheuristics made easy: Open source MAFESE library in Python. 340-358 - Piotr Luszczek, Ahmad Abdelfattah, Hartwig Anzt, Atsushi Suzuki, Stanimire Tomov:
Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications. 359-374 - Mohammed A. A. Al-qaness, Abdelghani Dahou, Nafissa Toureche Trouba, Mohamed Abd Elaziz, Ahmed M. Helmi:
TCN-Inception: Temporal Convolutional Network and Inception modules for sensor-based Human Activity Recognition. 375-388 - Sathish Chander Krishnan:
AI-HybridChain: Picturized authentication and DRL based access control method with secure two fold revocation for ensuring cloud computing security. 389-405 - Jaewoo Lee, Jinkyu Lee:
IMC-PnG: Maximizing runtime performance and timing guarantee for imprecise mixed-criticality real-time scheduling. 406-419 - Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun:
Scalable I/O aggregation for asynchronous multi-level checkpointing. 420-432 - Yi Wu, Jiayi Chen, Tianbao Lei, Jiahua Yu, M. Shamim Hossain:
Web 3.0 security: Backdoor attacks in federated learning-based automatic speaker verification systems in the 6G era. 433-441 - Sashko Ristov, Simon Brandacher, Mika Hautz, Michael Felderer, Ruth Breu:
CODE: Code once, deploy everywhere serverless functions in federated FaaS. 442-456 - Xiyuan Xu, Shaobo Zang, Muhammad Bilal, Xiaolong Xu, Wanchun Dou:
Intelligent architecture and platforms for private edge cloud systems: A review. 457-471 - Luca De Martini, Alessandro Margara, Gianpaolo Cugola, Marco Donadoni, Edoardo Morassutto:
The Renoir Dataflow Platform: Efficient Data Processing without Complexity. 472-488 - Muhammad Aufeef Chauhan, Muhammad Ali Babar, Haifeng Shen:
KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge-cloud environments to support situation-aware robot-assisted operations. 489-504 - Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi, Vasileios Baousis, Omar Barrilero, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, Michele Lazzarini, Adrian Luna, Alexandros Nousias, Christos Perentis, George Petrakis, Dharmen Punjani, David Röbl, George Stamoulis, Eleni Tsalapati, Indre Urbanaviciute, Giulio Weikmann, Xenia Ziouvelou, Marcin Ziólkowski, Manolis Koubarakis, Vangelis Karkaletsis:
European AI and EO convergence via a novel community-driven framework for data-intensive innovation. 505-521 - Xinglong Pei, Penghao Sun, Yuxiang Hu, Dan Li, Le Tian, Ziyong Li:
Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning. 522-536 - Ximing Liu, Yayong Li, Cheng Dai, Hong Zhang:
A hierarchical attention-based feature selection and fusion method for credit risk assessment. 537-546 - Ziwen Cheng, Yi Liu, Chao Wu, Yongqi Pan, Liushun Zhao, Xin Deng, Cheng Zhu:
Decentralized IoT data sharing: A blockchain-based federated learning approach with joint optimizations for efficiency and privacy. 547-563 - Yueyue Dai, Jian Wu, Shuqi Mao, Xiaoyang Rao, Bruce Gu, Youyang Qu, Yunlong Lu:
Blockchain empowered access control for digital twin system with attribute-based encryption. 564-576 - Danish Javeed, Muhammad Shahid Saeed, Ijaz Ahmad, Muhammad Adil, Prabhat Kumar, A. K. M. Najmul Islam:
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions. 577-597 - Eleanor Gilbert Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas:
Assessing and advancing the potential of quantum computing: A NASA case study. 598-618 - Din Music, Jernej Hribar, Carolina Fortuna:
Digital transformation with a lightweight on-premise PaaS. 619-629 - Nuanlai Wang, Shanchen Pang, Xiaofeng Ji, Haiyuan Gui, Xiao He:
An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing. 630-643 - Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini:
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. 644-653 - Arthur Kurlej, Sam Alterman, Kevin M. Obenland:
Performance of algorithms for emerging ion-trap quantum hardware. 654-665 - Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev:
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. 666-710 - Yayu Luo, Tongzhijun Zhu, Zediao Liu, Tenglong Mao, Ziyi Chen, Huan Pi, Ying Lin:
GANFAT: Robust federated adversarial learning with label distribution skew. 711-723 - Jia Jin, Qiaozhen Meng, Min Zeng, Guihua Duan, Ercheng Wang, Fei Guo:
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools. 724-738 - Diogo M. Gonçalves, Luiz F. Bittencourt, Edmundo R. M. Madeira:
Overhead and Performance of Dynamic Network Slice Allocation for Mobile Users. 739-751 - Sooyoung Lim, Dongchul Park:
Improving Hadoop MapReduce performance on heterogeneous single board computer clusters. 752-766 - Cèdric Prigent, Alexandru Costan, Gabriel Antoniu, Loïc Cudennec:
Enabling federated learning across the computing continuum: Systems, challenges and future directions. 767-783 - Francesco Colosimo, Floriano De Rango:
Dynamic gradient filtering in federated learning with Byzantine failure robustness. 784-797 - Shujie Ren, Lu Chen, Hongxia Hao, Liang Yu:
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection. 798-807 - Juan Miguel De Haro Ruiz, Carlos Álvarez-Martínez, Daniel Jiménez-González, Xavier Martorell, Tomohiro Ueno, Kentaro Sano, Burkhard Ringlein, François Abel, Beat Weiss:
Automated parallel execution of distributed task graphs with FPGA clusters. 808-824 - Jianhua Gu, Mingxuan Liu, Tianhai Zhao:
Enhancing campus OS community engagement through the miniOS pilot class: A nine-year journey. 825-834 - Yuxiao Deng, Anqi Wang, Lei Zhang, Ying Lei, Beibei Li, Yizhou Li:
FedRFC: Federated Learning with Recursive Fuzzy Clustering for improved non-IID data training. 835-843 - Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, Xianyi Zhao, Jie Wan, Yijie Ding, Ke Han:
MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction. 844-853 - Wan-Shu Cheng, Yi-Ting Lin, Peng-Yu Huang, Ju-Chin Chen, Kawuu W. Lin:
A fast and highly scalable frequent pattern mining algorithm. 854-868 - Savio Sciancalepore, Filip Davidovic, Gabriele Oligeri:
ORION: Verification of drone trajectories via remote identification messages. 869-878 - Yuhuai Peng, Jing Wang, Xiongang Ye, Fazlullah Khan, Ali Kashif Bashir, Bandar Alshawi, Lei Liu, Marwan Omar:
An intelligent resource allocation strategy with slicing and auction for private edge cloud systems. 879-889 - Chaomeng Chen, Zhenhong Zhou, Peng Tang, Longzhu He, Sen Su:
Enforcing group fairness in privacy-preserving Federated Learning. 890-900 - Junlin Wei, Pengfei Lin, Jinrong Jiang, Hailong Liu, Lian Zhao, Yehong Zhang, Xiang Han, Feng Zhang, Jian Huang, Yuzhu Wang, Youyun Li, Yue Yu, Xuebin Chi:
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos. 901-917 - Yaoguo Huang, Fang Fang, Lin Liu, Keyan Chen, Yaqi Du:
Prediction of drug targets related to HCC metastasis from the perspective of programmed cell death based on transformer. 918-925 - Sidahmed Benabderrahmane, Ngoc Hoang, Petko Valtchev, James Cheney, Talal Rahwan:
Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data. 926-941 - Xinxin Miao, Weiwei Yu:
ARGENT: Multi-task learning model for predicting autism-related genes and drug targets using heterogeneous graph convolutional network. 942-950 - Tommaso Zoppi, Stefano Gazzini, Andrea Ceccarelli:
Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers. 951-965
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