Energy-Efficient Federated Learning for AIoT using Clustering Methods | Paper Citation Record

Observation 547e373d-f2f9-4457-87b1-8d48af17bd71 · outbound

This paper cites Trends in data centre energy consumption under the european code of conduct for data centre energy efficiency,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Trends in data centre energy consumption under the european code of conduct for data centre energy efficiency,

Reference 1

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This paper cites Green cloud computing: Balancing energy in processing, storage, and transport,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Green cloud computing: Balancing energy in processing, storage, and transport,

Reference 2

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This paper cites Estimating Energy Consumption of Cloud, Fog, and Edge Computing Infrastructures,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Estimating Energy Consumption of Cloud, Fog, and Edge Computing Infrastructures,

Reference 3

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Observation f55fa8a7-bb85-467c-90fb-f2f5ecc0501b · outbound

This paper cites The Cost of Training Machine Learning Models over Distributed Data Sources,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods The Cost of Training Machine Learning Models over Distributed Data Sources,

Reference 4

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Observation f861f3ba-a828-4d5a-b7c7-392dc59b1806 · outbound

This paper cites Federated Learning With Co- operating Devices: A Consensus Approach for Massive IoT Networks,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated Learning With Co- operating Devices: A Consensus Approach for Massive IoT Networks,

Reference 5

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Observation 1c38cbb0-1491-4b0c-aa3a-c5f7e2436912 · outbound

This paper cites Learning- Based Computation Offloading for IoT Devices With Energy Harvest- ing,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Learning- Based Computation Offloading for IoT Devices With Energy Harvest- ing,

Reference 6

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This paper cites Energy-Efficient Artificial Intelligence of Things With Intelligent Edge,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Energy-Efficient Artificial Intelligence of Things With Intelligent Edge,

Reference 7

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This paper cites A Survey on Federated Learning for Resource-Constrained IoT Devices,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods A Survey on Federated Learning for Resource-Constrained IoT Devices,

Reference 8

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Observation 2d9e42ed-3af8-44ed-ada9-9c49d0e77ee9 · outbound

This paper cites A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond,

Reference 9

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Observation 8b1dce76-c050-423f-a6d8-4182ff8f31a7 · outbound

This paper cites Towards Federated Learning at Scale: System Design,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Towards Federated Learning at Scale: System Design,

Reference 10

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Observation f0ae38c6-0e85-4216-bbf6-c452934cc0ff · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods On the Convergence of FedAvg on Non-IID Data,

Reference 11

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Observation 8c59b98c-a50e-440e-a1e7-30234bcf250e · outbound

This paper cites Federated Learning With Non-IID Data: A Survey,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated Learning With Non-IID Data: A Survey,

Reference 12

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Observation ff935fed-ff14-4f1a-a941-57e8af35e7c8 · outbound

This paper cites Federated Optimization in Heterogeneous Networks,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated Optimization in Heterogeneous Networks,

Reference 13

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This paper cites Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

Reference 14

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This paper cites Optimal Client Sampling for Federated Learning.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Optimal Client Sampling for Federated Learning

Reference 15

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This paper cites FedCor: Correlation-Based Active Client Selection Strategy for Het- erogeneous Federated Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods FedCor: Correlation-Based Active Client Selection Strategy for Het- erogeneous Federated Learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.479874Z

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Observation bafd248d-468a-4272-9db2-015d02252da5 · outbound

This paper cites Delta: Diverse client sam- pling for fasting federated learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Delta: Diverse client sam- pling for fasting federated learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.467697Z

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Observation b7306199-a003-4c89-b7d7-c02d16b62172 · outbound

This paper cites Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.455245Z

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Observation 1b053b45-f1c4-4f9b-8924-9c354ea329a8 · outbound

This paper cites Diverse client selection for federated learning via submodular max- imization,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Diverse client selection for federated learning via submodular max- imization,

Reference 19

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Observation c483594b-4d48-4333-9bc5-1b2e261497fc · outbound

This paper cites Fast heterogeneous federated learning with hybrid client selection,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Fast heterogeneous federated learning with hybrid client selection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.436524Z

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Observation fae85d4c-2738-42e5-bf5e-076a85799aff · outbound

This paper cites FLIS: Clustered Fed- erated Learning Via Inference Similarity for Non-IID Data Distribution ,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods FLIS: Clustered Fed- erated Learning Via Inference Similarity for Non-IID Data Distribution ,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.423569Z

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This paper cites No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non- IID Data,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non- IID Data,

Reference 22

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Observation 44e67a8e-cf52-4522-a546-c13124ccbe59 · outbound

This paper cites Fedcorr: Multi- stage federated learning for label noise correction,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Fedcorr: Multi- stage federated learning for label noise correction,

Reference 23

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Observation 19697463-d50b-4cfe-8f1c-422c3890d3b0 · outbound

This paper cites Learn from Others and Be Yourself in Heterogeneous Federated Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Learn from Others and Be Yourself in Heterogeneous Federated Learning,

Reference 24

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This paper cites CIFAR-10 (Canadian Institute for Advanced Research).

Energy-Efficient Federated Learning for AIoT using Clustering Methods CIFAR-10 (Canadian Institute for Advanced Research)

Reference 25

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Observation 9cc2439a-c7c8-4179-9945-318c036ebb5a · outbound

This paper cites Energy Efficient Federated Learning Over Wireless Communication Networks,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Energy Efficient Federated Learning Over Wireless Communication Networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.360606Z

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This paper cites Fedgroup-prune: Iot device amicable and training-efficient federated learning via combined group lasso sparse model pruning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Fedgroup-prune: Iot device amicable and training-efficient federated learning via combined group lasso sparse model pruning,

Reference 27

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This paper cites Feder- ated Learning Under Heterogeneous and Correlated Client Availability,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Feder- ated Learning Under Heterogeneous and Correlated Client Availability,

Reference 28

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This paper cites Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study ,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study ,

Reference 29

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This paper cites Advances and open problems in federated learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Advances and open problems in federated learning,

Reference 30

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Observation 6c4655c0-4a4a-4b75-aa57-024336e910f9 · outbound

This paper cites Federated Learning on Non-IID Data Silos: An Experimental Study,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated Learning on Non-IID Data Silos: An Experimental Study,

Reference 31

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Observation b62871c8-4869-4563-b976-ff3c8b2f5229 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 32

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Observation aa76aaf4-a6c7-40c2-8ac2-4b5bc0240245 · outbound

This paper cites Communication-Efficient Distributionally Robust Decentralized Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Communication-Efficient Distributionally Robust Decentralized Learning,

Reference 33

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Observation 0c277c51-c3d3-4d7d-a52f-ab628345266e · outbound

This paper cites A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks,

Reference 34

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This paper cites Local SGD Converges Fast and Communicates Little,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Local SGD Converges Fast and Communicates Little,

Reference 35

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Observation 44be7339-6a70-4c06-bad3-1736e8e503fb · outbound

This paper cites Convergence time optimiza- tion for federated learning over wireless networks,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Convergence time optimiza- tion for federated learning over wireless networks,

Reference 36

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Observation 8bbad7bd-cdbc-471f-8a62-a3cad3dc8d5e · outbound

This paper cites Optimal Client Sampling for Federated Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Optimal Client Sampling for Federated Learning,

Reference 37

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This paper cites Neyman, On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selec- tion.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Neyman, On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selec- tion

Reference 38

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This paper cites Repulsive clustering based pilot assignment for cell-free massive MIMO systems,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Repulsive clustering based pilot assignment for cell-free massive MIMO systems,

Reference 39

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Observation ee27d44f-14da-41c5-a2eb-52b8aebacb23 · outbound

This paper cites Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition ,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition ,

Reference 40

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This paper cites Heuristic and special case algorithms for dispersion problems,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Heuristic and special case algorithms for dispersion problems,

Reference 41

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Observation 89af0f79-a229-4dfc-a80a-5729452bfdbf · outbound

This paper cites Inferring class-label distribution in feder- ated learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Inferring class-label distribution in feder- ated learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.191020Z

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Observation 225d9b0f-4681-45b6-bb1d-d37e7bf6f6d8 · outbound

This paper cites Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning,

Reference 43

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This paper cites mlco2/codecarbon: v2.4.1,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods mlco2/codecarbon: v2.4.1,

Reference 44

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Observation 49665268-719d-4276-98cf-bc9910e34598 · outbound

This paper cites Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.149417Z

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Observation 7e4ac5ab-01a5-4b93-8041-c9fd89b37dfa · outbound

This paper cites How to estimate carbon footprint when training deep learning models? A guide and review,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods How to estimate carbon footprint when training deep learning models? A guide and review,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.137007Z

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Observation c0cffb1b-5309-4bf4-91a1-107e55d6d861 · outbound

This paper cites Evaluating the RAM energy consumption at the stage of software development,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Evaluating the RAM energy consumption at the stage of software development,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.122640Z

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This paper cites IEEE 802.11 ax: High-efficiency WLANs,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods IEEE 802.11 ax: High-efficiency WLANs,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:32:45.103903Z

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This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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This paper cites Differential privacy,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Differential privacy,

Reference 50

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This paper cites The algorithmic foundations of differential privacy,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods The algorithmic foundations of differential privacy,

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Observation a1c93bc4-298f-4389-b8a6-16c23f9b46af · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated learning with differential privacy: Algorithms and performance analysis,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T21:32:44.859781Z

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This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Federated learning with differential privacy: Algorithms and performance analysis,

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Observation a773aaa2-b677-4ec7-93d2-a42c4c0cc596 · outbound

This paper cites Available: https://doi.org/10.5281/zenodo.11171501.

Energy-Efficient Federated Learning for AIoT using Clustering Methods Available: https://doi.org/10.5281/zenodo.11171501

Reference 2024

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