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InFeMo: Flexible Big Data Management Through a Federated Cloud System

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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/nem.1930openalex-snapshot
Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey
inferredcites →https://doi.org/10.1007/s11042-017-4590-4openalex-snapshot
Efficient and secure BIG data delivery in Cloud Computing
inferredcites →https://doi.org/10.1016/j.future.2016.11.031openalex-snapshot
Secure integration of IoT and Cloud Computing
inferredcites →https://doi.org/10.1016/j.future.2018.09.019openalex-snapshot
Controllable and trustworthy blockchain-based cloud data management
inferredcites →https://doi.org/10.1109/cbi.2017.28openalex-snapshot
Algorithms for Big Data in Advanced Communication Systems and Cloud Computing
inferredcites →https://doi.org/10.1109/icc.2013.6655092openalex-snapshot
Intelligent virtual machine placement for cost efficiency in geo-distributed cloud systems
inferredcites →https://doi.org/10.1109/icmla.2007.36openalex-snapshot
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
inferredcites →https://doi.org/10.1109/icmla.2015.125openalex-snapshot
Multi-query Optimization in Federated Databases Using Evolutionary Algorithm
inferredcites →https://doi.org/10.1109/jsac.2019.2904348openalex-snapshot
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
inferredcites →https://doi.org/10.1109/tbdata.2017.2701352openalex-snapshot
Heterogeneous Data Storage Management with Deduplication in Cloud Computing
inferredcites →https://doi.org/10.1109/tbdata.2017.2789286openalex-snapshot
MemepiC: Towards a Unified In-Memory Big Data Management System
inferredcites →https://doi.org/10.1109/tcc.2015.2404816openalex-snapshot
Cloud-Based Utility Service Framework for Trust Negotiations Using Federated Identity Management
inferredcites →https://doi.org/10.1109/tcc.2015.2489211openalex-snapshot
Camflow: Managed Data-Sharing for Cloud Services
inferredcites →https://doi.org/10.1109/tcc.2017.2689020openalex-snapshot
A Robust Reputation Management Mechanism in the Federated Cloud
inferredcites →https://doi.org/10.1109/tnsm.2020.2986223openalex-snapshot
Fine-Grained Cloud Resource Provisioning for Virtual Network Function
inferredcites →https://doi.org/10.1109/tpds.2015.2506573openalex-snapshot
Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement
inferredcites →https://doi.org/10.1109/tpds.2018.2880992openalex-snapshot
Efficiently Embedding Service Function Chains with Dynamic Virtual Network Function Placement in Geo-Distributed Cloud System
inferredcites →https://doi.org/10.1109/vcip.2018.8698609openalex-snapshot
Two-Stream Federated Learning: Reduce the Communication Costs
inferredcites →https://doi.org/10.1126/science.1200970openalex-snapshot
The World’s Technological Capacity to Store, Communicate, and Compute Information
inferredcites →https://doi.org/10.1145/1951365.1951432openalex-snapshot
Big data and cloud computing
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1145/3104028openalex-snapshot
Architectural Principles for Cloud Software
inferredcites →https://doi.org/10.1145/3108936openalex-snapshot
Hadoop-Based Intelligent Care System (HICS)
inferredcites →https://doi.org/10.1145/3122981openalex-snapshot
An Online Algorithm for Task Offloading in Heterogeneous Mobile Clouds
inferredcites →https://doi.org/10.1145/3125621openalex-snapshot
CloudMF
inferredcites →https://doi.org/10.1145/3286490.3286559openalex-snapshot
A Performance Evaluation of Federated Learning Algorithms
inferredcites →https://doi.org/10.1145/3389250openalex-snapshot
Big Data Analysis of Internet of Things System
inferredcites →https://doi.org/10.48550/arxiv.1511.03575openalex-snapshot
Federated Optimization:Distributed Optimization Beyond the Datacenter
inferredcites →https://doi.org/10.48550/arxiv.1610.02527openalex-snapshot
Federated Optimization: Distributed Machine Learning for On-Device Intelligence

What points at this work

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

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inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126418openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2023.09.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1089/big.2022.0211openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccams60113.2023.10526007openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icce56470.2023.10043451openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icce59016.2024.10444468openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iconat57137.2023.10080053openalex-snapshot
Healthcare Diagnostics Service Using Federated Learning
inferred← citeshttps://doi.org/10.1109/jiot.2021.3093480openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2021.3103325openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2023.3325822openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2023.3330813openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2025.3539653openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s021812662250222xopenalex-snapshot
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F-NIDS: Sistema de Detecção de Intrusão baseado em Aprendizado Federado
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