Paper Citation Record · LEDGER

Optimized Local Updates in Federated Learning via Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2506.06337.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.06337 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T15:16:32.125215Z

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A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T15:17:39.400400Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 7819503f-6c96-458d-9dc1-4e6980936795 · outbound

This paper cites On the privacy-robustness-utility trilemma in distributed learning,.

Optimized Local Updates in Federated Learning via Reinforcement Learning On the privacy-robustness-utility trilemma in distributed learning,

Reference 1

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Observation 2bbe8589-bc4a-443d-b422-6fef36f759c3 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Optimized Local Updates in Federated Learning via Reinforcement Learning Flower: A Friendly Federated Learning Research Framework

Reference 2

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This paper cites API design for machine learning software: experiences from the scikit-learn project,.

Optimized Local Updates in Federated Learning via Reinforcement Learning API design for machine learning software: experiences from the scikit-learn project,

Reference 3

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This paper cites Bayesian coreset optimization for personalized federated learning,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Bayesian coreset optimization for personalized federated learning,

Reference 4

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This paper cites Calibre: Towards fair and accurate personalized federated learning with self-supervised learning,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Calibre: Towards fair and accurate personalized federated learning with self-supervised learning,

Reference 5

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This paper cites Momentum benefits non-iid federated learning simply and provably,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Momentum benefits non-iid federated learning simply and provably,

Reference 6

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This paper cites Muc-5 evaluation metrics,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Muc-5 evaluation metrics,

Reference 7

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This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Feddc: Federated learning with non-iid data via local drift decoupling and correction,

Reference 8

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This paper cites Deep reinforcement learning for modelling protein complexes,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Deep reinforcement learning for modelling protein complexes,

Reference 9

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This paper cites Goodfellow, Y.

Optimized Local Updates in Federated Learning via Reinforcement Learning Goodfellow, Y

Reference 10

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This paper cites Array programming with NumPy,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Array programming with NumPy,

Reference 11

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This paper cites pfedbea: Combatting data heterogeneity for personalized federated learning by body exchange and aggregation abandon,.

Optimized Local Updates in Federated Learning via Reinforcement Learning pfedbea: Combatting data heterogeneity for personalized federated learning by body exchange and aggregation abandon,

Reference 12

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This paper cites Deep residual learning for image recognition,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Deep residual learning for image recognition,

Reference 13

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

Optimized Local Updates in Federated Learning via Reinforcement Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 14

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This paper cites Stochastic controlled averaging for federated learning with communication compression,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Stochastic controlled averaging for federated learning with communication compression,

Reference 15

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Observation ac57a09e-75e8-41c4-88c0-158d4385109d · outbound

This paper cites Per- sonalized cross-silo federated learning on non-iid data,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Per- sonalized cross-silo federated learning on non-iid data,

Reference 16

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This paper cites Matplotlib: A 2d graphics environment,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Matplotlib: A 2d graphics environment,

Reference 17

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Optimized Local Updates in Federated Learning via Reinforcement Learning Unresolved cited work

Reference 18

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This paper cites Heterogeneous personalized federated learning by local-global updates mixing via convergence rate,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Heterogeneous personalized federated learning by local-global updates mixing via convergence rate,

Reference 19

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This paper cites DepthFL : Depthwise federated learning for heterogeneous clients,.

Optimized Local Updates in Federated Learning via Reinforcement Learning DepthFL : Depthwise federated learning for heterogeneous clients,

Reference 20

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This paper cites Learning multiple layers of features from tiny images,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Learning multiple layers of features from tiny images,

Reference 21

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This paper cites Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more.

Optimized Local Updates in Federated Learning via Reinforcement Learning Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

Reference 22

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This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

Optimized Local Updates in Federated Learning via Reinforcement Learning A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 23

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This paper cites Federated optimization in heterogeneous networks,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Federated optimization in heterogeneous networks,

Reference 24

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Optimized Local Updates in Federated Learning via Reinforcement Learning Fedcompass: Efficient cross-silo federated learning on heterogeneous client devices using a computing power-aware scheduler,

Reference 25

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This paper cites Federated learning with data- free distillation for heterogeneity-aware autonomous driving,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Federated learning with data- free distillation for heterogeneity-aware autonomous driving,

Reference 26

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Optimized Local Updates in Federated Learning via Reinforcement Learning Continuous control with deep reinforcement learning,

Reference 27

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This paper cites DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning.

Optimized Local Updates in Federated Learning via Reinforcement Learning DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning

Reference 28

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This paper cites Integrating planning and deep reinforcement learning via automatic induction of task substructures,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Integrating planning and deep reinforcement learning via automatic induction of task substructures,

Reference 29

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Optimized Local Updates in Federated Learning via Reinforcement Learning Communication-efficient learning of deep networks from decentralized data,

Reference 30

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Optimized Local Updates in Federated Learning via Reinforcement Learning Pytorch: An imperative style, high-performance deep learning library,

Reference 31

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Optimized Local Updates in Federated Learning via Reinforcement Learning Plaat, Deep reinforcement learning

Reference 32

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This paper cites PeFLL: Personalized federated learning by learning to learn,.

Optimized Local Updates in Federated Learning via Reinforcement Learning PeFLL: Personalized federated learning by learning to learn,

Reference 33

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This paper cites Reinforcement learning: An introduction,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Reinforcement learning: An introduction,

Reference 34

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Optimized Local Updates in Federated Learning via Reinforcement Learning Fedimpro: Measuring and improving client update in federated learning,

Reference 35

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Optimized Local Updates in Federated Learning via Reinforcement Learning SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 36

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Optimized Local Updates in Federated Learning via Reinforcement Learning Confidence region estimation techniques for nonlinear regression in groundwater flow: Three case studies,

Reference 37

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Optimized Local Updates in Federated Learning via Reinforcement Learning FedCDA: Federated learning with cross-rounds divergence-aware aggregation,

Reference 38

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Optimized Local Updates in Federated Learning via Reinforcement Learning Tackling the data heterogeneity in asynchronous federated learning with cached update calibration,

Reference 39

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Optimized Local Updates in Federated Learning via Reinforcement Learning Fedhyper: A universal and robust learning rate scheduler for federated learning with hypergradient descent,

Reference 40

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Optimized Local Updates in Federated Learning via Reinforcement Learning Fedinverse: Evaluating privacy leakage in federated learning,

Reference 41

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This paper cites Personalized federated learning for intelligent iot applications: A cloud-edge based framework,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Personalized federated learning for intelligent iot applications: A cloud-edge based framework,

Reference 42

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Optimized Local Updates in Federated Learning via Reinforcement Learning Unresolved cited work

Reference 43

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This paper cites Trustworthy personalized bayesian federated learning via posterior fine-tune,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Trustworthy personalized bayesian federated learning via posterior fine-tune,

Reference 44

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This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 45

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Observation 625a27f4-1fdd-4728-bfd3-2667a50385b6 · outbound

This paper cites Exploiting class feature alignment for personalized federated learning in mixed skew scenarios,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Exploiting class feature alignment for personalized federated learning in mixed skew scenarios,

Reference 46

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Observation 6cfa0432-3c7c-4ca3-b430-9e91f5338dc8 · outbound

This paper cites Turning the curse of heterogeneity in federated learning into a blessing for out-of-distribution detection,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Turning the curse of heterogeneity in federated learning into a blessing for out-of-distribution detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:29.429409Z

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Observation 08d4987c-5b0c-487e-b5bd-36600db19ffc · outbound

This paper cites Bayesian nonparametric federated learning of neural networks,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Bayesian nonparametric federated learning of neural networks,

Reference 48

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This paper cites Fedala: Adaptive local aggregation for personalized federated learning,.

Optimized Local Updates in Federated Learning via Reinforcement Learning Fedala: Adaptive local aggregation for personalized federated learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:04:28.974150Z

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Pith citing papers

Observation 78d3d06f-15b7-413a-a069-a86458805a59 · inbound

On the Fragility of Data Attribution When Learning Is Distributed cites this paper.

On the Fragility of Data Attribution When Learning Is Distributed Optimized Local Updates in Federated Learning via Reinforcement Learning

Reference 17

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