• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 908 matches

• 2020
• 
  Pengfei Jiang:
  From Data Collection to Learning from Distributed Data: a Minimum Cost Incentive Mechanism for Private Discrete Distribution Estimation and an Optimal Stopping Approach for Iterative Training in Federated Learning. Arizona State University, Tempe, USA, 2020
• 
  Lulwa Ahmed, Kashif Ahmad, Naina Said, Basheer Qolomany, Junaid Qadir, Ala I. Al-Fuqaha:
  Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification. IEEE Access 8: 208518-208531 (2020)
• 
  Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed:
  Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Access 8: 140699-140725 (2020)
• 
  Bouziane Brik, Adlen Ksentini, Maha Bouaziz:
  Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems. IEEE Access 8: 53841-53849 (2020)
• 
  Zhuo Chen, Na Lv, Pengfei Liu, Yu Fang, Kun Chen, Wu Pan:
  Intrusion Detection for Wireless Edge Networks Based on Federated Learning. IEEE Access 8: 217463-217472 (2020)
• 
  Gaofeng Hua, Li Zhu, Jinsong Wu, Chunzi Shen, Linyan Zhou, Qingqing Lin:
  Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway. IEEE Access 8: 176830-176839 (2020)
• 
  Latif U. Khan, Madyan Alsenwi, Ibrar Yaqoob, Muhammad Imran, Zhu Han, Choong Seon Hong:
  Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries. IEEE Access 8: 168854-168864 (2020)
• 
  Sungwook Kim:
  Incentive Design and Differential Privacy Based Federated Learning: A Mechanism Design Perspective. IEEE Access 8: 187317-187325 (2020)
• 
  Kun Li, Huachun Zhou, Zhe Tu, Weilin Wang, Hongke Zhang:
  Distributed Network Intrusion Detection System in Satellite-Terrestrial Integrated Networks Using Federated Learning. IEEE Access 8: 214852-214865 (2020)
• 
  Xiaofeng Lu, Yuying Liao, Pietro Liò, Pan Hui:
  Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing. IEEE Access 8: 48970-48981 (2020)
• 
  Nishat I. Mowla, Nguyen Hoang Tran, Inshil Doh, Kijoon Chae:
  Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network. IEEE Access 8: 4338-4350 (2020)
• 
  Mohamed Abdur Rahman, M. Shamim Hossain, Mohammad Saiful Islam, Nabil Ali Alrajeh, Ghulam Muhammad:
  Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach. IEEE Access 8: 205071-205087 (2020)
• 
  Kentaroh Toyoda, Jun Zhao, Allan NengSheng Zhang, P. Takis Mathiopoulos:
  Blockchain-Enabled Federated Learning With Mechanism Design. IEEE Access 8: 219744-219756 (2020)
• 
  Yuting Yan, Songhua Liu, Yibo Jin, Zhuzhong Qian, Sheng Zhang, Sanglu Lu:
  Risk Minimization Against Transmission Failures of Federated Learning in Mobile Edge Networks. IEEE Access 8: 98205-98217 (2020)
• 
  Yunfan Ye, Shen Li, Fang Liu, Yonghao Tang, Wanting Hu:
  EdgeFed: Optimized Federated Learning Based on Edge Computing. IEEE Access 8: 209191-209198 (2020)
• 
  Dongdong Ye, Rong Yu, Miao Pan, Zhu Han:
  Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach. IEEE Access 8: 23920-23935 (2020)
• 
  Huafei Zhu, Rick Siow Mong Goh, Wee Keong Ng:
  Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework. IEEE Access 8: 198275-198284 (2020)
• 
  Romano Fantacci, Benedetta Picano:
  Federated learning framework for mobile edge computing networks. CAAI Trans. Intell. Technol. 5(1): 15-21 (2020)
• 
  Jingyan Jiang, Liang Hu:
  Decentralised federated learning with adaptive partial gradient aggregation. CAAI Trans. Intell. Technol. 5(3): 230-236 (2020)
• 
  Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang:
  Federated learning for privacy-preserving AI. Commun. ACM 63(12): 33-36 (2020)
• 
  Li Li, Yuxi Fan, Mike Tse, Kuo-Yi Lin:
  A review of applications in federated learning. Comput. Ind. Eng. 149: 106854 (2020)
• 
  Yichuan Wang, Yuying Tian, Xinyue Yin, Xinhong Hei:
  A trusted recommendation scheme for privacy protection based on federated learning. CCF Trans. Netw. 3(3-4): 218-228 (2020)
• 
  Zengpeng Li, Vishal Sharma, Saraju P. Mohanty:
  Preserving Data Privacy via Federated Learning: Challenges and Solutions. IEEE Consumer Electron. Mag. 9(3): 8-16 (2020)
• 
  Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui:
  Wireless Communications for Collaborative Federated Learning. IEEE Commun. Mag. 58(12): 48-54 (2020)
• 
  Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
  From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020)
• 
  Latif U. Khan, Shashi Raj Pandey, Nguyen Hoang Tran, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong:
  Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism. IEEE Commun. Mag. 58(10): 88-93 (2020)
• 
  Solmaz Niknam, Harpreet S. Dhillon, Jeffrey H. Reed:
  Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges. IEEE Commun. Mag. 58(6): 46-51 (2020)
• 
  Hui Jiang, Min Liu, Bo Yang, Qingxiang Liu, Jizhong Li, Xiaobing Guo:
  Customized Federated Learning for accelerated edge computing with heterogeneous task targets. Comput. Networks 183: 107569 (2020)
• 
  Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang:
  EaSTFLy: Efficient and secure ternary federated learning. Comput. Secur. 94: 101824 (2020)
• 
  Chen Fang, Yuanbo Guo, Na Wang, Ankang Ju:
  Highly efficient federated learning with strong privacy preservation in cloud computing. Comput. Secur. 96: 101889 (2020)

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