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Keyword

secure aggregation

Description: A privacy-preserving method for combining data from multiple sources while protecting the individual inputs, especially in sensor networks.
OpenAlex ID: keywords/secure-aggregation
Practical Secure Aggregation for Privacy-Preserving Machine Learning
2017 · Keith Bonawitz, Vladimir Ivanov, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 3,925
Secure Single-Server Aggregation with (Poly)Logarithmic Overhead
2020 · James Henry Bell, Kallista A. Bonawitz, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 454
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Federated Learning With Non-IID Data: A Survey
2024 · Zili Lu, Heng Pan, et al. · IEEE Internet of Things Journal · 443
Secure data aggregation in wireless sensor networks: A comprehensive overview
2009 · Suat Ozdemir, Yang Xiao · Computer Networks · 422
Secure aggregation for wireless networks
2003 · Lingxuan Hu, D. Evans · Symposium on Applications and the Internet Workshops (SAINT Workshops) · 416
Secure hierarchical in-network aggregation in sensor networks
2006 · Haowen Chan, Adrian Perrig, et al. · Proceedings of the ACM Conference on Computer and Communications Security · 336
Practical Secure Aggregation for Federated Learning on User-Held Data
2016 · Bonawitz, Keith, Ivanov, Vladimir, et al. · arXiv (Cornell University) · 334
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VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
2020 · Xiaojie Guo, Zheli Liu, et al. · IEEE Transactions on Information Forensics and Security · 317
Byzantine-Resilient Secure Federated Learning
2020 · Jinhyun So, Basak Guler, et al. · IEEE Journal on Selected Areas in Communications · 310
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Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems
2022 · Yinbin Miao, Ziteng Liu, et al. · IEEE Transactions on Information Forensics and Security · 300
SDAP
2006 · Yi Yang, Xinran Wang, et al. · ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) · 289
SAFELearn: Secure Aggregation for private FEderated Learning
2021 · Hossein Fereidooni, Samuel Marchal, et al. · IEEE Security and Privacy Workshops (SPW) · 269
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Management and applications of trust in Wireless Sensor Networks: A survey
2013 · Guangjie Han, Jinfang Jiang, et al. · Journal of Computer and System Sciences · 247
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Efficient secure aggregation in VANETs
2006 · Maxim Raya, Adel Aziz, et al. · 232
PPFL
2021 · Fan Mo, Hamed Haddadi, et al. · International Conference on Mobile Systems, Applications, and Services · 230
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Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Collusion Attacks
2014 · Mohsen Rezvani, Aleksandar Ignjatovic, et al. · IEEE Transactions on Dependable and Secure Computing · 194
Federated Learning with Buffered Asynchronous Aggregation
2021 · Nguyen, John, Malik, Kshitiz, et al. · arXiv (Cornell University) · 182
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Differentially Private Learning with Adaptive Clipping
2019 · Andrew, Galen, Thakkar, Om, et al. · arXiv (Cornell University) · 179
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Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
2022 · Yifeng Zheng, Shangqi Lai, et al. · IEEE Transactions on Dependable and Secure Computing · 163
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Anonymous and secure aggregation scheme in fog-based public cloud computing
2017 · Huaqun Wang, Zhiwei Wang, et al. · Future Generation Computer Systems · 162
PDAFT: A privacy-preserving data aggregation scheme with fault tolerance for smart grid communications
2014 · Le Chen, Rongxing Lu, et al. · Peer-to-Peer Networking and Applications · 161
A systematic review of federated learning: Challenges, aggregation methods, and development tools
2023 · Badra Souhila Guendouzi, Samir Ouchani, et al. · Journal of Network and Computer Applications · 158
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FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network
2019 · Ahsan Saleem, Abid Khan, et al. · IEEE Internet of Things Journal · 152
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Privacy-preserving federated learning for residential short-term load forecasting
2022 · Joaquín Delgado Fernández, Sergio Potenciano Menci, et al. · Applied Energy · 144
Secure Data Aggregation in Wireless Sensor Networks: A Survey
2006 · Yingpeng Sang, Hong Shen, et al. · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) · 142
Works count: 3,271
Citation count: 31,850
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