隐私计算与数据要素 · 全部实体（第 73 / 100 页）

本页收录第 7201–7300 条，共 10000 条 · 返回 隐私计算与数据要素 首页

• Personalized Federated Learning Based on Multi-Objective Optimization
  crossref Yunong Yang, Ao Xu, Tao Xie 2024-01-06T07:22:37Z 置信度 0.70
• Harnessing the Synergy: Federated Learning Meets Edge Computing in 5G Ecosystems
  In the era of rapid digital transformation, the integration of Federated Learning (FL) with Edge Computing in 5G networks emerges as a pivotal innovation, offering a new paradigm for data processing and intelligence distribution. This paper delves into the cor…
  crossref Elizabeth Ango Fomuso Ekellem 2024-01-22T10:58:10Z 置信度 0.70
• Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning
  crossref Lucia Alonso, Mina Alishahi 2024-07-12T19:48:20Z 置信度 0.70
• Federated learning in digital healthcare
  In an era where data privacy and accessibility are paramount, federated learning emerges as a transformative paradigm, enabling collaborative AI model training across distributed healthcare datasets. This special collection brings together pioneering research …
  crossref Guang Yang, Brandon Edwards, Sarthak Pati, Xiaoxiao Li 2024-11-07T11:54:37Z 置信度 0.70
• Quantization Strategies in Federated Learning: Comparative Assessment of Methods and Challenges
  crossref Praveer Dubey, Mohit kumar 2024-08-30T12:35:16Z 置信度 0.70
• Airy Federated Learning: A Light-Weight Federated Learning using APoZ-based Pruning
  crossref Keon-Oh Kim, Seong-Bae Park, Choong-Seon Hong 2024-07-28T21:25:07Z 置信度 0.70
• Robust Federated Learning Against Targeted Attackers Using Model Updates Correlation
  crossref Priyesh Ranjan, Ashish Gupta, Sajal K. Das 2024-09-03T07:02:43Z 置信度 0.70
• Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
  crossref Shunxin Guo, Hongsong Wang, Xin Geng 2024-01-18T15:19:07Z 置信度 0.70
• Federated Texture Classification: Implementing Colorectal Histology Image Analysis using Federated Learning
  This research explores neural network models' performance and adaptability in the context of the colorectal histology dataset as it pertains to the categorization of textures. Inception, VGG19, and MobileNet, together with their federated variations, are among…
  crossref Et al. Jyoti L. Bangare 2024-01-29T06:31:02Z 置信度 0.70
• Federated Learning-Based Face Recognition: Methods, Challenges and Future Prospects
  crossref Xiaoying Yang 2024-09-19T12:37:25Z 置信度 0.70
• Explainable AI Approaches in Federated Learning: Systematic Review (Preprint)
  BACKGROUND Artificial intelligence (AI) has, in the recent past, experienced a rebirth with the growth of generative AI systems such as ChatGPT and Bard. These systems are trained with billions of parameters and have enabled widespread accessibility and unders…
  crossref Titus Tunduny, Bernard Shibwabo 2026-02-03T19:40:09Z 置信度 0.70
• Federated Learning
  crossref M. Irfan Uddin, Wali Khan Mashwani 2024-07-18T08:39:48Z 置信度 0.70
• Imbalanced Federated Learning Framework for Industrial Fault Diagnosis
  crossref Shu Sun, Xinmin Zhang, Zhihuan Song 2024-07-16T22:17:35Z 置信度 0.70
• Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
  crossref Vinit Hegiste, Tatjana Legler, Martin Ruskowski 2025-01-21T18:22:35Z 置信度 0.70
• FedRL: Federated Learning with Non-IID Data via Review Learning
  crossref Jinbo Wang, Ruijin Wang, Xikai Pei 2024-06-07T18:55:50Z 置信度 0.70
• Application of gRPC in FedLearn
  crossref 2024-08-28T10:21:23Z 置信度 0.70
• Message from the Technical Program Chairs
  crossref 2025-01-21T18:22:35Z 置信度 0.70
• AI in Mental Health Federated Learning and Privacy
  This chapter explores the integration of artificial intelligence (AI) in the realm of mental health, focusing on the application of federated learning to ensure privacy and confidentiality. The study delves into the challenges of implementing AI-driven solutio…
  crossref Shyelendra Madansing Pardeshi, Dinesh Chandra Jain 2024-05-02T09:01:10Z 置信度 0.70
• Back Matter
  crossref 2025-01-20T05:27:31Z 置信度 0.70
• Beyond Federated Learning: Survival-Critical Machine Learning
  crossref Eric Sturzinger, Mahadev Satyanarayanan 2025-01-01T19:22:59Z 置信度 0.70
• Advanced Architectures and Innovative Platforms for Federated Learning: A Comprehensive Exploration
  crossref Neha Bhati, Narayan Vyas 2024-11-22T21:19:26Z 置信度 0.70
• Relayfl:Advancing Federated Learning Towards Clientheterogeneity
  crossref yang yong, tingting yang, shaoshuai gao, jiahong ning 等 2024-07-03T13:21:53Z 置信度 0.70
• Blockchain-Enhanced Federated Learning: A New Paradigm for Secure Distributed Machine Learning
  crossref Shiva Mehta, Amanveer Singh 2024-08-15T13:21:37Z 置信度 0.70
• Chronicles of Deep Learning
  crossref Syed Atif Ali Shah, Nasir Algeelani 2024-07-18T08:39:48Z 置信度 0.70
• Advances in Pneumonia Detection: A Comprehensive Investigation of Federated Learning and Deep Learning-Based Approaches
  crossref Bingchen Duan 2024-09-19T12:37:25Z 置信度 0.70
• Fair Federated Learning via Bounded Group Loss
  crossref Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith 2024-05-10T17:22:05Z 置信度 0.70
• Federated Learning of Models Pretrained on Different Features with Consensus Graphs
  crossref Tengfei Ma, Jie Chen, Trong Nghia Hoang 2024-09-03T07:02:43Z 置信度 0.70
• Co-operative Edge Intelligence for C-V2X Communication using Federated Reinforcement Learning
  <p> This paper examines the application of federated reinforcement learning (FRL) to enable resource-constrained vehicular edge nodes to learn their communication parameters from a central parameter server (PS). In cellular vehicleto-everything communica…
  crossref Abhishek Gupta, Xavier Fernando 2024-11-21T01:47:58Z 置信度 0.70
• Advancements and Applications of Using Federated Learning in Diagnosing and Analyzing Brain Tumor Images
  crossref Yusong Yang 2026-02-19T17:24:43Z 置信度 0.70
• The Integration of Federated Deep Learning with Internet of Things in Healthcare
  crossref Hirak Mondal, Md. Mehedi Hassan, Anindya Nag, Anupam Kumar Bairagi 2024-07-29T08:04:57Z 置信度 0.70
• Harnessing Federated Learning for Anomaly Detection in Supercomputer Nodes
  crossref Emmen Farooq, Michela Milano, Andrea Borghesi 2024-03-26T06:19:32Z 置信度 0.70
• Federating Everything with Flower
  crossref Javier Fernandez-Marques 2025-01-21T18:22:35Z 置信度 0.70
• The Comprehensive Investigation of Federated Learning with Its Application in the Medical Image Analysis
  crossref Wenxiao Zeng 2026-02-19T17:38:23Z 置信度 0.70
• Communication Efficient Federated Learning for Wireless Networks
  crossref Mingzhe Chen, Shuguang Cui 2024-02-19T05:04:40Z 置信度 0.70
• Co-operative Edge Intelligence for C-V2X Communication using Federated Reinforcement Learning
  <p> This paper examines the application of federated reinforcement learning (FRL) to enable resource-constrained vehicular edge nodes to learn their communication parameters from a central parameter server (PS). In cellular vehicleto-everything communica…
  crossref Abhishek Gupta, Xavier Fernando 2024-11-21T01:47:59Z 置信度 0.70
• Fair Incentive Distribution Mechanism in Hierarchical Federated Learning
  The integration of artificial intelligence (AI) in healthcare, powered by Internet of Medical Things (IoMT) data, offers significant potential for personalized and efficient patient care. Hierarchical federated learning (HFL) is a promising approach for health…
  crossref Siwan Noh, Ju-Hyun Jeon, Kyung-Hyune Rhee 2024-12-10T16:35:37Z 置信度 0.70
• Blockchain-Based Distributed Federated Learning Using Proof of Accuracy Consensus
  crossref Aghil Sadegh, Amir Jalaly Bidgoly 2024-03-06T19:17:32Z 置信度 0.70
• Enabling Federated Learning in the Classroom
  crossref Ahmad Al Yakin, Arkas Viddy, Idi Warsah, Ali Said Al Matari 等 2024-11-29T17:15:57Z 置信度 0.70
• Back Matter
  crossref 2025-01-13T08:38:15Z 置信度 0.70
• Proceedings of the 3rd Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network
  crossref 2024-10-04T06:18:55Z 置信度 0.70
• AI Fairness–From Machine Learning to Federated Learning
  crossref Lalit Mohan Patnaik, Wenfeng Wang 2024-01-30T09:53:19Z 置信度 0.70
• Federated Machine Learning als Mittel zur Überwindung rechtlicher Hürden der Forschung mit Gesundheitsdaten
  crossref 2024-07-22T19:05:31Z 置信度 0.70
• “Optimizing Remote Smart Learning with Wireless Networks Using Federated Learning Algorithms”
  crossref Wang Baoping, Lichengyi Fan 2024-12-30T19:20:36Z 置信度 0.70
• Latency-Aware Node Selection in Federated Learning
  crossref Rustem Dautov, Erik Johannes Husom 2024-08-15T17:18:52Z 置信度 0.70
• Figure 2: Proposed cross silo federated learning using VPN based wireless backhaul network (Mahmood et al., 2024).
  crossref 2024-11-13T05:47:22Z 置信度 0.70
• Deep Reinforcement Learning, Generative AI, Federated Learning, and Digital Twin Technology
  crossref Jong-Moon Chung 2024-09-16T10:02:49Z 置信度 0.70
• Cost-Aware Federated Learning in Mobile Edge Networks
  crossref Qiangqiang Gu, Kai Jiang, Liang Zhao, Huan Zhou 等 2024-10-04T06:18:55Z 置信度 0.70
• Adaptive Federated Learning with High-Efficiency Communication Compression
  crossref Xuyang Xing, Honglei Liu 2024-09-17T18:46:36Z 置信度 0.70
• Analysis of Total Variation Minimization for Clustered Federated Learning
  crossref Alexander Jung 2024-11-21T19:01:48Z 置信度 0.70
• Federated Clustered Multi-Domain Learning for Health Monitoring
  Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient care. However…
  crossref Shiyi Jiang, Yuan Li, Farshad Firouzi, Krishnendu Chakrabarty 2024-01-25T09:12:50Z 置信度 0.70
• Cost-Efficient Feature Selection for Horizontal Federated Learning
  crossref Sourasekhar Banerjee, Devvjiit Bhuyan, Erik Elmroth, Monowar Bhuyan 2024-02-14T11:30:43Z 置信度 0.70
• Federated Learning for Intelligent <scp>IoT</scp> Systems: Background, Frameworks, and Optimization Techniques
  crossref Partha Pratim Ray 2024-11-22T21:19:26Z 置信度 0.70
• Subject Index
  crossref 2024-12-26T08:01:16Z 置信度 0.70
• Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
  crossref Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He 2025-11-03T11:20:56Z 置信度 0.70
• Fedspl: Robust Federated Learning Against Noisy Labels Via Self-Paced Learning
  crossref Yanming Chen, Zhiguo Da, Xuefeng Jiang, Yiwen Zhang 等 2024-06-04T08:23:23Z 置信度 0.70
• Empowering Data Mesh with Federated Learning
  crossref Haoyuan Li, Salman Toor 2025-01-16T18:31:23Z 置信度 0.70
• Federated Learning
  crossref Liefeng Bo, Heng Huang, Songxiang Gu, Yanqing Chen 2024-03-11T01:11:35Z 置信度 0.70
• Federated Learning of Explainable Ai(Fedxai) for Deep Learning-Based Intrusion Detection in Iot Networks
  crossref Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi 2024-12-03T23:39:32Z 置信度 0.70
• Federated Learning under Sample Selection Heterogeneity
  crossref Huy Mai, Xintao Wu 2025-01-16T18:31:23Z 置信度 0.70
• Subject Index
  crossref 2024-12-19T05:23:34Z 置信度 0.70
• Federated learning of medical concepts embedding using BEHRT
  Abstract Objectives Electronic health record data is often considered sensitive medical information. Therefore, the EHR data from different medical centers often cannot be shared, making it difficult to create prediction models using multicenter EHR data, whic…
  crossref Ofir Ben Shoham, Nadav Rappoport 2024-10-23T16:25:25Z 置信度 0.70
• Beyond Federated Learning for IoT: Efficient Split Learning with Caching &amp; Model Customization
  Distributed training of deep learning models on resource-constrained devices has gained significant interest. Federated Learning (FL) and Split learning (SL) have become the most popular way to do this task. Training data-driven deep learning models in FL/SL i…
  crossref Manisha Chawla, Gagan Raj Gupta, Shreyas Gaddam, Manas Wadhwa 2024-02-14T10:55:19Z 置信度 0.70
• Fedspl: Robust Federated Learning Against Noisy Labels Via Self-Paced Learning
  crossref Yanming Chen, Zhiguo Da, Xuefeng Jiang, Yiwen Zhang 等 2024-07-24T22:24:13Z 置信度 0.70
• Securing Data Privacy in Machine Learning: The FedAvg of Federated Learning Approach
  crossref Shiva Mehta, Aseem Aneja 2025-01-21T18:22:34Z 置信度 0.70
• Mamba-Based Federated Learning Architecture for Privacy-Preserving Machine Learning
  crossref Chenfan Wu 2025-01-14T19:40:10Z 置信度 0.70
• Building a Robust Federated Learning based Intrusion Detection System in Internet of Things
  The Internet of Things (IoT) has emerged as the next big technological revolution in recent years with the potential to transform every sphere of human life. As devices, applications, and communication networks become increasingly connected and integrated, sec…
  crossref Afrooz Rahmati, Afra Mashhadi, Geethapriya Thamilarasu 2024-02-04T14:25:56Z 置信度 0.70
• A survey on vulnerability of federated learning: A learning algorithm perspective
  crossref Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng 2024-01-08T11:43:54Z 置信度 0.70
• Understanding Loss Landscape Symmetry in Federated Learning: Implications for Model Fusion and Optimization
  crossref Praveer Dubey, Mohit Kumar 2024-08-12T16:45:40Z 置信度 0.70
• Secure and Privacy-Preserving Federated Learning With Explainable Artificial Intelligence for Smart Healthcare Systems
  With the escalating global population, the healthcare sector faces unprecedented challenges, necessitating innovative solutions. Deep learning (DL) and federated learning (FL) have emerged as pivotal technologies, yet challenges persist in data privacy, securi…
  crossref Rita Komalasari 2024-05-02T09:01:10Z 置信度 0.70
• Fundamentals of Edge <scp>AI</scp> and Federated Learning
  crossref Atefeh Hemmati, Hanieh Mohammadi Arzanagh, Amir Masoud Rahmani 2024-11-22T21:19:26Z 置信度 0.70
• Federated Learning for XSS Detection: A Privacy-Preserving Approach
  crossref Mahran Jazi, Irad Ben-Gal 2024-11-22T02:08:53Z 置信度 0.70
• Federated Reinforcement Learning to Optimize Teleoperated Driving Networks
  crossref Filippo Bragato, Marco Giordani, Michele Zorzi 2025-03-11T17:30:35Z 置信度 0.70
• Performance Optimization Practices in Real-World Scenarios
  crossref 2024-08-28T10:21:23Z 置信度 0.70
• Federated Learning: Catalyzing the Next AI Breakthrough
  crossref 2024-11-12T18:36:28Z 置信度 0.70
• Addressing machine learning challenges with microcomputing and federated learning
  crossref Joshua D Kaggie 2024-01-24T18:31:36Z 置信度 0.70
• Federated Learning in Drone-based Systems
  crossref Otto B. Piramuthu, Matthew Caesar 2024-12-03T18:54:57Z 置信度 0.70
• Infusion of federated learning for cybersecurity in Industry 5.0
  crossref G. Chemmalar Selvi, G. Deepti Raj, G. Lakshmi Priya, Gokul Yenduri 等 2025-01-13T08:38:15Z 置信度 0.70
• Comparative study of Federated Learning and Machine Learning for Drug Discovery
  crossref Kausar Ali, Aasim Zafar 2024-12-11T22:24:11Z 置信度 0.70
• Decentralized Federated Learning Based on Committees and Blockchain
  crossref Yixuan Wang, Yunfei Yan, Chaoqun Yang, Tan Yang 2024-01-20T07:18:10Z 置信度 0.70
• Federated Machine Learning
  crossref Rachid Guerraoui, Nirupam Gupta, Rafael Pinot 2024-04-04T01:02:01Z 置信度 0.70
• OVERVIEW OF FEDERATED LEARNING
  crossref 2024-02-23T05:25:56Z 置信度 0.70
• Conclusion
  crossref Gautam Srivastava 2025-01-13T08:38:15Z 置信度 0.70
• List of Contributors
  crossref 2024-12-19T05:23:34Z 置信度 0.70
• Optimizing Federated Learning for Intrusion Detection in IoT Networks
  crossref Abderahmane Hamdouchi, Ali Idri 2024-11-21T21:08:53Z 置信度 0.70
• From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
  crossref Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai, Shaba Shaon 等 2025-01-27T18:36:30Z 置信度 0.70
• Energy Optimization and Security in Federated Learning for IoT Environments
  crossref 2025-01-20T05:27:31Z 置信度 0.70
• Model-based reinforcement learning approach for federated learning resource allocation and parameter optimization
  crossref Farzan Karami, Babak Hossein Khalaj 2024-09-20T16:19:18Z 置信度 0.70
• Robust Federated Learning for Edge Intelligence
  crossref Dongxiao Yu, Xiao Zhang, Hanshu He, Shuzhen Chen 等 2024-09-03T07:02:43Z 置信度 0.70
• Data Poisoning and Leakage Analysis in Federated Learning
  crossref Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal 等 2024-09-03T07:02:43Z 置信度 0.70
• Evolution and advancements in intrusion detection systems: from traditional methods to deep learning and federated learning approaches
  crossref 2024-12-31T08:06:22Z 置信度 0.70
• Federated Learning for Multimedia Data Processing and Security in Industry 5.0
  crossref 2025-01-13T08:38:15Z 置信度 0.70
• The Applications of Federated Learning Algorithm in the Federated Cloud Environment: A Systematic Review
  crossref Ademolu Ajao, Oluranti Jonathan, Emmanuel Adetiba 2024-08-15T17:29:08Z 置信度 0.70
• Private and Heterogeneous Personalized Hierarchical Federated Learning Using Conditional Generative Adversarial Networks
  crossref Afsaneh Afzali, Pirooz Shamsinejad 2024-11-26T22:47:10Z 置信度 0.70
• Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
  crossref Fan Dong, Henry Leung, Steve Drew 2024-07-05T21:18:42Z 置信度 0.70
• Federated Learning Secure Model: A Framework for Malicious Clients Detection
  crossref Dominik Kolasa, Kinga Pilch, Wojciech Mazurczyk 2024-01-12T19:18:30Z 置信度 0.70
• Federated Learning-Enhanced Query Optimization for Federated Data Warehouses
  Federated Data Warehouses (FDWs) integrate heterogeneous and distributed data sources, enabling unified query access without centralizing storage. However, query optimization in FDWs faces challenges due to data distribution, network latency, and varying sourc…
  crossref Karthik Mani, Manish Tomar 2025-08-11T09:23:02Z 置信度 0.70
• Out-of-Distribution Detection Via Outlier Exposure in Federated Learning
  crossref Gu-Bon Jeong, Dong-Wan Choi 2024-09-20T01:21:52Z 置信度 0.70
• Fedmse: Semi-Supervised Federated Learning Approach for Iot Network Intrusion Detection
  crossref Van Tuan Nguyen, Razvan Beuran 2024-10-17T00:38:17Z 置信度 0.70
• Back Matter
  crossref 2024-10-04T08:10:23Z 置信度 0.70
• Federated learning for optimized communication in Industry 5.0
  crossref Dasari Bhulakshmi, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Celestine Iwendi 等 2025-01-13T08:38:15Z 置信度 0.70