Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data | Paper Citation Record

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This paper cites A review of recommender systems based on knowledge graph embedding,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data A review of recommender systems based on knowledge graph embedding,

Reference 1

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Observation 3e8728f7-5f69-4c01-b5d3-6ec9843558b1 · outbound

This paper cites Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network,

Reference 2

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This paper cites Pain-fl: Personalized privacy-preserving incentive for federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Pain-fl: Personalized privacy-preserving incentive for federated learning,

Reference 3

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This paper cites Optimizing e-commerce recommender systems: A comprehen- sive review of techniques and future directions,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Optimizing e-commerce recommender systems: A comprehen- sive review of techniques and future directions,

Reference 4

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Observation 6816c168-a8e4-4299-b382-acf6b5d6b850 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Semi-Supervised Classification with Graph Convolutional Networks

Reference 5

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This paper cites Inductive representation learn- ing on large graphs,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Inductive representation learn- ing on large graphs,

Reference 6

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Observation 1e2af7ac-34e6-4e4f-adfc-341ebc59617a · outbound

This paper cites Phase space graph convolutional net- work for chaotic time series learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Phase space graph convolutional net- work for chaotic time series learning,

Reference 7

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This paper cites Keystrokesniffer: An off-the-shelf smartphone can eavesdrop on your privacy from anywhere,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Keystrokesniffer: An off-the-shelf smartphone can eavesdrop on your privacy from anywhere,

Reference 8

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Observation 96d830aa-2c84-4cda-bd0b-4a2a2109413b · outbound

This paper cites Adaptive local update and neural composition for accelerating federated learning in heterogeneous edge networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Adaptive local update and neural composition for accelerating federated learning in heterogeneous edge networks,

Reference 9

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Observation f2658448-11d2-4de3-bf08-9861f8dce997 · outbound

This paper cites Federated graph classification over non-iid graphs,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated graph classification over non-iid graphs,

Reference 10

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This paper cites Subgraph federated learning with missing neighbor generation,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Subgraph federated learning with missing neighbor generation,

Reference 11

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This paper cites Finch: Enhancing federated learning with hierarchical neural architecture search,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Finch: Enhancing federated learning with hierarchical neural architecture search,

Reference 12

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This paper cites Enhancing semi-supervised federated learning with progressive training in heteroge- neous edge computing,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Enhancing semi-supervised federated learning with progressive training in heteroge- neous edge computing,

Reference 13

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This paper cites Decen- tralized federated graph neural networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Decen- tralized federated graph neural networks,

Reference 14

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This paper cites Glint: Decentralized federated graph learning with traffic throttling and flow scheduling,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Glint: Decentralized federated graph learning with traffic throttling and flow scheduling,

Reference 15

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Observation 13eb5ca7-73e5-4b48-9ac5-9b5cfa00dc63 · outbound

This paper cites Acceler- ating decentralized federated learning with probabilistic communication in heterogeneous edge computing,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Acceler- ating decentralized federated learning with probabilistic communication in heterogeneous edge computing,

Reference 16

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This paper cites S-glint: Secure federated graph learning with traffic throttling and flow scheduling,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data S-glint: Secure federated graph learning with traffic throttling and flow scheduling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:38.080700Z

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Observation ccd64539-4020-483b-be7d-8334abd89f28 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Open graph benchmark: Datasets for machine learning on graphs,

Reference 18

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Observation 73cad19b-df29-429c-a542-ccc03475d834 · outbound

This paper cites Accelerating federated learning via parameter selection and pre-synchronization in mobile edge- cloud networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Accelerating federated learning via parameter selection and pre-synchronization in mobile edge- cloud networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:38.061687Z

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This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 20

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This paper cites Fedgraph: Federated graph learning with intelligent sampling,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Fedgraph: Federated graph learning with intelligent sampling,

Reference 21

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Observation 141c94eb-95b8-474e-a92d-b7c2c5bd90db · outbound

This paper cites Federated graph learning with periodic neighbour sampling,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated graph learning with periodic neighbour sampling,

Reference 22

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Observation 673c2dab-6a53-46a5-9b9b-0993ff19c72d · outbound

This paper cites Historical embedding-guided efficient large-scale federated graph learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Historical embedding-guided efficient large-scale federated graph learning,

Reference 23

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Observation ec1f4e64-0c14-4ecb-aeb5-c6d55c5634e0 · outbound

This paper cites Accelerating de- centralized federated learning in heterogeneous edge computing,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Accelerating de- centralized federated learning in heterogeneous edge computing,

Reference 24

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Observation 11618e94-19e3-4d92-ae49-7c16c7d31f88 · outbound

This paper cites Enhancing federated learning with intelligent model migration in heterogeneous edge computing,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Enhancing federated learning with intelligent model migration in heterogeneous edge computing,

Reference 25

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This paper cites Mobility- aware fog computing in dynamic environments: Understandings and implementation,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Mobility- aware fog computing in dynamic environments: Understandings and implementation,

Reference 26

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This paper cites Matcha: Speeding up decentralized sgd via matching decomposition sampling,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Matcha: Speeding up decentralized sgd via matching decomposition sampling,

Reference 27

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This paper cites Mergesfl: Split federated learning with feature merging and batch size regulation,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Mergesfl: Split federated learning with feature merging and batch size regulation,

Reference 28

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Observation f6a73ad0-85b8-48c7-a80a-b9a7af061553 · outbound

This paper cites Parallelsfl: A novel split federated learning framework tackling heterogeneity issues,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Parallelsfl: A novel split federated learning framework tackling heterogeneity issues,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.964762Z

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Observation 7d9f11b9-a01e-4ffb-8930-389c6624fd6c · outbound

This paper cites FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 30

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This paper cites Communication-efficient decentralized machine learning over heteroge- neous networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Communication-efficient decentralized machine learning over heteroge- neous networks,

Reference 31

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This paper cites Decentralized machine learning through experience-driven method in edge networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Decentralized machine learning through experience-driven method in edge networks,

Reference 32

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Observation 6f95b83b-dff2-4bba-9b99-05c84ac065a1 · outbound

This paper cites Optimal online data partitioning for geo-distributed machine learning in edge of wireless networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Optimal online data partitioning for geo-distributed machine learning in edge of wireless networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.930314Z

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Observation 3ab883f7-1f06-4956-b095-0580e9621dc9 · outbound

This paper cites Consensus control for decentralized deep learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Consensus control for decentralized deep learning,

Reference 34

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Observation 7447fc80-ed89-47c0-9952-bcbb59c02b91 · outbound

This paper cites Decentralized deep learning with arbitrary communication compression,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Decentralized deep learning with arbitrary communication compression,

Reference 35

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Observation 7f1ad685-e65d-4985-b880-845e344b41c4 · outbound

This paper cites Adaptive configuration for heterogeneous participants in decentralized federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Adaptive configuration for heterogeneous participants in decentralized federated learning,

Reference 36

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Observation a2eb796b-ee5d-4ec6-a6e2-8e4c063f36e8 · outbound

This paper cites The non-iid data quagmire of decentralized machine learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data The non-iid data quagmire of decentralized machine learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.884382Z

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This paper cites The complexity of facets (and some facets of complexity),.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data The complexity of facets (and some facets of complexity),

Reference 38

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Observation adc3b991-2668-4524-b477-5c35c6fdb579 · outbound

This paper cites Continuous control with deep reinforcement learning.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Continuous control with deep reinforcement learning

Reference 39

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Observation 6ce1db74-deb2-4450-a3bf-bf9ec0f5d6d9 · outbound

This paper cites Experience-driven networking: A deep reinforcement learning based approach,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Experience-driven networking: A deep reinforcement learning based approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.860430Z

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Observation 1fec1bd3-5666-46d6-bfb5-2cabbab43dbc · outbound

This paper cites Human-level control through deep reinforcement learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Human-level control through deep reinforcement learning,

Reference 41

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This paper cites Fast linear iterations for distributed averaging,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Fast linear iterations for distributed averaging,

Reference 42

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Observation be8a369d-3baf-4be2-a8ba-be5ee4f587f8 · outbound

This paper cites Nvidia jetson devices.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Nvidia jetson devices

Reference 43

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This paper cites Docker: lightweight linux containers for consistent development and deployment,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Docker: lightweight linux containers for consistent development and deployment,

Reference 44

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This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Pytorch: An imperative style, high-performance deep learning library,

Reference 45

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This paper cites socket library.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data socket library

Reference 46

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Observation e4450b54-b879-4004-a321-7475ad99ff18 · outbound

This paper cites Semi-supervised decentralized machine learning with device-to-device cooperation,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Semi-supervised decentralized machine learning with device-to-device cooperation,

Reference 47

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Observation e5f5f035-12c8-464c-8411-efc9bd7520b8 · outbound

This paper cites Yoga: Adaptive layer- wise model aggregation for decentralized federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Yoga: Adaptive layer- wise model aggregation for decentralized federated learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.786924Z

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Observation 7045f3b3-e3b6-48d6-a9b2-ef0ecf0fc677 · outbound

This paper cites Topology design and graph embedding for decentralized federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Topology design and graph embedding for decentralized federated learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.775762Z

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Observation 5117bdb9-cd3f-44f1-92b6-f58e5551be0d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Adam: A Method for Stochastic Optimization

Reference 50

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This paper cites Graph neural networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Graph neural networks,

Reference 51

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This paper cites A survey of graph neural networks for social recommender systems,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data A survey of graph neural networks for social recommender systems,

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This paper cites A review of convolutional neural networks in computer vision,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data A review of convolutional neural networks in computer vision,

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated graph neural networks: Overview, techniques, and challenges,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.743560Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated Graph Semantic and Structural Learning

Reference 55

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Hierarchical federated learning with local model embedding,

Reference 56

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This paper cites Fedgl: Federated graph learning framework with global self-supervision,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Fedgl: Federated graph learning framework with global self-supervision,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.721858Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated graph learning under domain shift with generalizable prototypes,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.711165Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated learning over coupled graphs,

Reference 59

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This paper cites Federated hetero- geneous contrastive distillation for molecular representation learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated hetero- geneous contrastive distillation for molecular representation learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:37.108459Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and chal- lenges,

Reference 61

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Spreadgnn: Decentralized multi-task federated learning for graph neural networks on molecular data,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:36.460844Z

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This paper cites Dci-pfgl: Decentralized cross-institutional personalized federated graph learning for iot service recommendation,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Dci-pfgl: Decentralized cross-institutional personalized federated graph learning for iot service recommendation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:36.261557Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Federated Graph Learning with Adaptive Importance-based Sampling

Reference 64

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This paper cites p2pgnn: A de- centralized graph neural network for node classification in peer-to-peer networks,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data p2pgnn: A de- centralized graph neural network for node classification in peer-to-peer networks,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:36.096770Z

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This paper cites Towards personalized federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Towards personalized federated learning,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:35.058895Z

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Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:45:35.382346Z

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This paper cites An information theoretic perspective for heterogeneous subgraph federated learning,.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data An information theoretic perspective for heterogeneous subgraph federated learning,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:45:35.811413Z

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This paper cites How Powerful are Graph Neural Networks?.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data How Powerful are Graph Neural Networks?

Reference 69

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