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Distributed and deep vertical federated learning with big data

https://doi.org/10.1002/cpe.7697
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.7272openalex-snapshot
Large‐scale knowledge distillation with elastic heterogeneous computing resources
inferredcites →https://doi.org/10.1007/3-540-48910-x_16openalex-snapshot
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
inferredcites →https://doi.org/10.1007/978-3-030-77870-5_23openalex-snapshot
On the Security of Homomorphic Encryption on Approximate Numbers
inferredcites →https://doi.org/10.1007/978-3-031-01872-5openalex-snapshot
Data-Intensive Workflow Management
inferredcites →https://doi.org/10.1007/978-3-540-24676-3_1openalex-snapshot
Efficient Private Matching and Set Intersection
inferredcites →https://doi.org/10.1007/978-3-540-85174-5_32openalex-snapshot
Founding Cryptography on Oblivious Transfer – Efficiently
inferredcites →https://doi.org/10.1007/s10115-022-01664-xopenalex-snapshot
From distributed machine learning to federated learning: a survey
inferredcites →https://doi.org/10.1007/s10723-015-9329-8openalex-snapshot
A Survey of Data-Intensive Scientific Workflow Management
inferredcites →https://doi.org/10.1007/s10922-021-09609-5openalex-snapshot
A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems
inferredcites →https://doi.org/10.1016/j.clsr.2013.07.010openalex-snapshot
The Singapore Personal Data Protection Act and an assessment of future trends in data privacy reform
inferredcites →https://doi.org/10.1016/j.future.2021.08.028openalex-snapshot
Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
inferredcites →https://doi.org/10.1080/15427951.2004.10129096openalex-snapshot
Network Applications of Bloom Filters: A Survey
inferredcites →https://doi.org/10.1109/icdm.2019.00198openalex-snapshot
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
inferredcites →https://doi.org/10.1109/icdm54844.2022.00013openalex-snapshot
Federated Fingerprint Learning with Heterogeneous Architectures
inferredcites →https://doi.org/10.1109/jbhi.2022.3172269openalex-snapshot
Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection
inferredcites →https://doi.org/10.1109/mc.2014.161openalex-snapshot
Privacy and Big Data
inferredcites →https://doi.org/10.1109/mcomstd.0001.2000081openalex-snapshot
5G-Empowered Drone Networks in Federated and Deep Reinforcement Learning Environments
inferredcites →https://doi.org/10.1109/tbdata.2015.2472014openalex-snapshot
Petuum: A New Platform for Distributed Machine Learning on Big Data
inferredcites →https://doi.org/10.1109/tcc.2021.3136577openalex-snapshot
Data Placement for Multi-Tenant Data Federation on the Cloud
inferredcites →https://doi.org/10.1109/tpds.2022.3224941openalex-snapshot
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning
inferredcites →https://doi.org/10.1109/trustcom.2015.357openalex-snapshot
Trusted Execution Environment: What It is, and What It is Not
inferredcites →https://doi.org/10.1109/trustcom50675.2020.00098openalex-snapshot
Multi-party Private Set Intersection in Vertical Federated Learning
inferredcites →https://doi.org/10.1145/114325.103713openalex-snapshot
Optimizing equijoin queries in distributed databases where relations are hash partitioned
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2508859.2516701openalex-snapshot
When private set intersection meets big data
inferredcites →https://doi.org/10.1145/2517349.2522738openalex-snapshot
Naiad
inferredcites →https://doi.org/10.1145/3133956.3134061openalex-snapshot
Fast Private Set Intersection from Homomorphic Encryption
inferredcites →https://doi.org/10.1145/3154794openalex-snapshot
Scalable Private Set Intersection Based on OT Extension
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3394486.3403298openalex-snapshot
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
inferredcites →https://doi.org/10.1145/3426972openalex-snapshot
InFeMo: Flexible Big Data Management Through a Federated Cloud System
inferredcites →https://doi.org/10.1145/3545008.3545065openalex-snapshot
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
inferredcites →https://doi.org/10.14778/1920841.1920931openalex-snapshot
An architecture for parallel topic models
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v34i08.7021openalex-snapshot
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v36i9.21235openalex-snapshot
Efficient Device Scheduling with Multi-Job Federated Learning
inferredcites →https://doi.org/10.24963/ijcai.2018/547openalex-snapshot
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
inferredcites →https://doi.org/10.24963/ijcai.2022/385openalex-snapshot
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
inferredcites →https://doi.org/10.4018/ijssci.285593openalex-snapshot
Security of Cloud-Based Medical Internet of Things (MIoTs)
inferredcites →https://doi.org/10.4018/ijswis.2019040105openalex-snapshot
Exposing Social Data as Linked Data in Education
inferredcites →https://doi.org/10.4018/ijswis.2020100101openalex-snapshot
Integration of Semantics Into Sensor Data for the IoT

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.8002openalex-snapshot
Efficient asynchronous federated learning with sparsification and quantization
inferred← citeshttps://doi.org/10.1007/s10115-024-02117-3openalex-snapshot
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
inferred← citeshttps://doi.org/10.1007/s10115-024-02285-2openalex-snapshot
Trustworthy federated learning: privacy, security, and beyond
inferred← citeshttps://doi.org/10.1007/s10115-025-02546-8openalex-snapshot
Efficient federated learning with timely update dissemination
inferred← citeshttps://doi.org/10.1007/s10489-023-05239-3openalex-snapshot
On mask-based image set desensitization with recognition support
inferred← citeshttps://doi.org/10.1007/s11227-025-07296-6openalex-snapshot
VFCkM: a federated clustering framework based on k-means algorithm for vertically partitioned data with shared attributes
inferred← citeshttps://doi.org/10.1016/j.csbj.2025.06.009openalex-snapshot
Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions
inferred← citeshttps://doi.org/10.1016/j.future.2023.05.032openalex-snapshot
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments
inferred← citeshttps://doi.org/10.1063/1674-0068/cjcp2403028openalex-snapshot
Accelerating hartree-fock self-consistent field calculation on C86/DCU heterogenous computing platform
inferred← citeshttps://doi.org/10.1109/yac63405.2024.10598543openalex-snapshot
ADLG: An Adaptive Deep Leakage from Gradients in Federated Learning
inferred← citeshttps://doi.org/10.1137/1.9781611978032.95openalex-snapshot
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
inferred← citeshttps://doi.org/10.1145/3690648openalex-snapshot
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
inferred← citeshttps://doi.org/10.1145/3735125openalex-snapshot
Bias in Federated Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1609/aaai.v38i12.29297openalex-snapshot
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.488openalex-snapshot
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
inferred← citeshttps://doi.org/10.3390/modelling5030061openalex-snapshot
Serendipitous, Open Big Data Management and Analytics: The SeDaSOMA Framework
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