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From Server-Based to Client-Based Machine Learning
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-71249-9_12openalex-snapshot
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks
inferredcites →https://doi.org/10.1007/s10115-007-0114-2openalex-snapshot
Top 10 algorithms in data mining
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s13748-012-0035-5openalex-snapshot
A survey of methods for distributed machine learning
inferredcites →https://doi.org/10.1016/j.jnca.2018.05.003openalex-snapshot
Distributed learning of deep neural network over multiple agents
inferredcites →https://doi.org/10.1016/j.jpdc.2008.09.002openalex-snapshot
Bandwidth optimal all-reduce algorithms for clusters of workstations
inferredcites →https://doi.org/10.1016/j.tics.2007.09.004openalex-snapshot
Learning multiple layers of representation
inferredcites →https://doi.org/10.1016/s0893-6080(98)00116-6openalex-snapshot
On the momentum term in gradient descent learning algorithms
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/icde40885.2018openalex-snapshot
2018 IEEE 34th International Conference on Data Engineering (ICDE)
inferredcites →https://doi.org/10.1109/jiot.2019.2940820openalex-snapshot
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
inferredcites →https://doi.org/10.1109/jiot.2020.2964162openalex-snapshot
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks
inferredcites →https://doi.org/10.1109/mwc.001.1900119openalex-snapshot
Reliable Federated Learning for Mobile Networks
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
inferredcites →https://doi.org/10.1109/tit.1963.1057854openalex-snapshot
Pattern recognition and machine learning
inferredcites →https://doi.org/10.1109/tkde.2020.2967670openalex-snapshot
The Disruptions of 5G on Data-Driven Technologies and Applications
inferredcites →https://doi.org/10.1109/tsp.2006.881075openalex-snapshot
2007 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1137/16m1080173openalex-snapshot
Optimization Methods for Large-Scale Machine Learning
inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot
Training linear SVMs in linear time
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/2640087.2644155openalex-snapshot
Scaling Distributed Machine Learning with the Parameter Server
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1145/2814566openalex-snapshot
Revisiting Asynchronous Linear Solvers
inferredcites →https://doi.org/10.1145/3081333.3081358openalex-snapshot
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3308558.3313591openalex-snapshot
A First Look at Deep Learning Apps on Smartphones
inferredcites →https://doi.org/10.1214/aoms/1177729586openalex-snapshot
A Stochastic Approximation Method
inferredcites →https://doi.org/10.14778/1920841.1920931openalex-snapshot
An architecture for parallel topic models
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015693openalex-snapshot
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
inferredcites →https://doi.org/10.21437/interspeech.2017-1798openalex-snapshot
Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System
inferredcites →https://doi.org/10.48550/arxiv.1505.06807openalex-snapshot
MLlib: Machine Learning in Apache Spark
inferredcites →https://doi.org/10.5555/1005332.1005345openalex-snapshot
RCV1: A New Benchmark Collection for Text Categorization Research
inferredcites →https://doi.org/10.5555/2946645.3007028openalex-snapshot
Distributed coordinate descent method for learning with big data
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.6352openalex-snapshot
5G network slicing: Fundamental concepts, architectures, algorithmics, projects practices, and open issues
inferred← citeshttps://doi.org/10.1007/978-3-031-21689-3_18openalex-snapshot
On Social Consensus Mechanisms for Federated Learning Aggregation
inferred← citeshttps://doi.org/10.1007/978-981-96-4148-2_24openalex-snapshot
Enhancing Healthcare Privacy: A Synergistic Approach with Federated Learning and Blockchain Integration
inferred← citeshttps://doi.org/10.1007/978-981-97-6352-8_22openalex-snapshot
Twitter Profile Analyzer: A Tool for Combating Hate Speech and Promoting Positive Online Communication
inferred← citeshttps://doi.org/10.1007/s00521-023-08902-5openalex-snapshot
TongueMobile: automated tongue segmentation and diagnosis on smartphones
inferred← citeshttps://doi.org/10.1063/5.0299093openalex-snapshot
Flight fare prediction using random forest algorithm
inferred← citeshttps://doi.org/10.1080/1206212x.2025.2496913openalex-snapshot
Healthcare federated learning: a survey of applications and frameworks
inferred← citeshttps://doi.org/10.1080/23335777.2022.2051210openalex-snapshot
Deep Learning Assist IoT Search Engine for Disaster Damage Assessment
inferred← citeshttps://doi.org/10.1109/cac59555.2023.10451632openalex-snapshot
FedCPSO: Federated Learning with Combined Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/icbir57571.2023.10147477openalex-snapshot
Medicine Recommendation for Pharmacists at Drug Stores based on Data Analysis of Conditional Knowledge
inferred← citeshttps://doi.org/10.1109/igetblockchain56591.2022.10087146openalex-snapshot
A Trustless Federated Framework for Decentralized and Confidential Deep Learning
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3567055openalex-snapshot
FedPC: An Efficient Prototype-Based Clustered Federated Learning on Medical Imaging
inferred← citeshttps://doi.org/10.1109/percomworkshops53856.2022.9767493openalex-snapshot
Prototyping Opportunistic Learning in Resource Constrained Mobile Devices
inferred← citeshttps://doi.org/10.1109/seb4sdg60871.2024.10629888openalex-snapshot
Federated Learning-Based Asthma Prediction Model in Children
inferred← citeshttps://doi.org/10.1109/tits.2023.3275741openalex-snapshot
Edge Intelligence in Intelligent Transportation Systems: A Survey
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3169347openalex-snapshot
Collaborative Machine Learning: Schemes, Robustness, and Privacy
inferred← citeshttps://doi.org/10.1109/tpds.2023.3240833openalex-snapshot
Scheduling Algorithms for Federated Learning With Minimal Energy Consumption
inferred← citeshttps://doi.org/10.1109/vtc2023-spring57618.2023.10200507openalex-snapshot
K-DUMBs IoRT: Knowledge Driven Unified Model Block Sharing in the Internet of Robotic Things
inferred← citeshttps://doi.org/10.1145/3501813openalex-snapshot
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
inferred← citeshttps://doi.org/10.1145/3511808openalex-snapshot
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
inferred← citeshttps://doi.org/10.1145/3511808.3557065openalex-snapshot
Real-time Short Video Recommendation on Mobile Devices
inferred← citeshttps://doi.org/10.1145/3605153openalex-snapshot
Offloading Machine Learning to Programmable Data Planes: A Systematic Survey
inferred← citeshttps://doi.org/10.1145/3613904.3642109openalex-snapshot
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences
inferred← citeshttps://doi.org/10.1145/3613904.3642628openalex-snapshot
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
inferred← citeshttps://doi.org/10.1155/2022/1701266openalex-snapshot
Cyberattacks Defense in Digital Music Streaming Platforms by Mobile Distributed Machine Learning
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