Paper Citation Record · LEDGER

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2412.17305.

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

pith.paper-citation-record.v1
2412.17305 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:42:42.063573Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:13:28.703060Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:04:00.238917Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3a1347d-c1d0-41f7-82c5-ade5c9ff89c4 · outbound

This paper cites Enhancing training of spiking neural network with stochastic latency.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Enhancing training of spiking neural network with stochastic latency

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.560029Z

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Observation fd9c54ca-5fea-4459-b5c7-09f790980312 · outbound

This paper cites Hfedsnn: Efficient hierarchical federated learning using spiking neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Hfedsnn: Efficient hierarchical federated learning using spiking neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.529941Z

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Observation a010c0af-e459-40b4-87c0-49a28f5c6fb4 · outbound

This paper cites Ec-snn: Splitting deep spik- ing neural networks for edge devices.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Ec-snn: Splitting deep spik- ing neural networks for edge devices

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.505749Z

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Observation a4e58370-4351-4991-9e49-11e8d26d3a6e · outbound

This paper cites Exploiting label skews in federated learning with model concatenation.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Exploiting label skews in federated learning with model concatenation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.491871Z

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Observation 99d44c23-78f2-45aa-9dde-2a3ce4795692 · outbound

This paper cites Differential privacy for deep and federated learning: A survey.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Differential privacy for deep and federated learning: A survey

Reference 7

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Observation 0175fd54-3faf-4037-96c5-5f01e15cc9ac · outbound

This paper cites Maximum likelihood esti- mation of dirichlet distribution parameters.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Maximum likelihood esti- mation of dirichlet distribution parameters

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.446890Z

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Observation 11e389eb-0f95-47eb-a936-fbbe74a946d1 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Federated learning on non-iid data silos: An experimental study

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.380458Z

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Observation c110db64-b58e-461c-b3b8-49e5591ebe0d · outbound

This paper cites Feder- ated learning in mobile edge networks: A comprehen- sive survey.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Feder- ated learning in mobile edge networks: A comprehen- sive survey

Reference 15

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Observation 57999140-5d87-4054-a42e-d724e95d1e1f · outbound

This paper cites Networks of spiking neu- rons: the third generation of neural network models.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Networks of spiking neu- rons: the third generation of neural network models

Reference 16

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Observation 06296b06-f01b-4062-a59c-8c281c0fdad2 · outbound

This paper cites Deep directly-trained spiking neural networks for object detec- tion.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Deep directly-trained spiking neural networks for object detec- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.312548Z

Source-reported events for the cited work

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Observation 43f60713-4350-4977-8090-4501facd9ac1 · outbound

This paper cites Federated learn- ing with spiking neural networks in heterogeneous sys- tems.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Federated learn- ing with spiking neural networks in heterogeneous sys- tems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.296970Z

Source-reported events for the cited work

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Observation 1ada1752-8a69-4672-bcec-130275bde467 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11),.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Visualizing data using t-sne.Journal of machine learning research, 9(11),

Reference 21

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Observation f4416730-51a9-4a2e-bc05-6ce92e134176 · outbound

This paper cites Tackling the objective in- consistency problem in heterogeneous federated optimiza- tion.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Tackling the objective in- consistency problem in heterogeneous federated optimiza- tion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.256304Z

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Observation 18cb19ac-aadd-41b1-b49e-498c7955f1d2 · outbound

This paper cites Adaptive smoothing gradient learning for spiking neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Adaptive smoothing gradient learning for spiking neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.240682Z

Source-reported events for the cited work

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Observation 0056cda4-fa00-4017-9c49-ee63570673d8 · outbound

This paper cites Direct training for spiking neural networks: Faster, larger, better.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Direct training for spiking neural networks: Faster, larger, better

Reference 25

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Observation fa8e6698-d4c3-442e-9d48-03dacced6211 · outbound

This paper cites Flea: Addressing data scarcity and label skew in federated learning via privacy-preserving feature augmentation.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Flea: Addressing data scarcity and label skew in federated learning via privacy-preserving feature augmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.214064Z

Source-reported events for the cited work

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Observation 94191d1c-1b78-4577-9503-26b9e631849d · outbound

This paper cites Efficient feder- ated learning with spike neural networks for traffic sign recognition.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Efficient feder- ated learning with spike neural networks for traffic sign recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.196090Z

Source-reported events for the cited work

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Observation 78624a59-37f0-4875-9a0f-410dcb45a739 · outbound

This paper cites Spike-driven transformer v2: Meta spiking neural net- work architecture inspiring the design of next-generation neuromorphic chips.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Spike-driven transformer v2: Meta spiking neural net- work architecture inspiring the design of next-generation neuromorphic chips

Reference 28

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Observation e155f821-b1b2-4588-b06c-936866b502d2 · outbound

This paper cites Bayesian nonparametric feder- ated learning of neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Bayesian nonparametric feder- ated learning of neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.164275Z

Source-reported events for the cited work

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Observation 6d9fb067-bae3-4529-8004-eda06f5b08d4 · outbound

This paper cites Federated learning with label distribution skew via logits calibration.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Federated learning with label distribution skew via logits calibration

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.148021Z

Source-reported events for the cited work

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Observation 512ff7a6-fcb6-4c62-89a7-14167038d9df · outbound

This paper cites Federated learning for radar gesture recognition based on spike timing dependent plasticity.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Federated learning for radar gesture recognition based on spike timing dependent plasticity

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.132418Z

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Observation d3baf97c-5112-4ae8-88ab-46db7e62cb01 · outbound

This paper cites Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks

Reference 32

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Observation afb4c5f2-77aa-47f1-b35b-996b51863031 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 1997

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Observation a3a34f64-5307-45a2-8543-a19dd88fe82d · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Scaffold: Stochastic controlled averaging for federated learning

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.427526Z

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Observation 60a35cd5-9de6-4d44-839e-d9b97ad05114 · outbound

This paper cites Feder- ated learning with spiking neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Feder- ated learning with spiking neural networks

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.271713Z

Source-reported events for the cited work

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Observation 7a2d4aba-fb60-410b-a210-0878abeacb64 · outbound

This paper cites Long-tail learning via logit ad- justment.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Long-tail learning via logit ad- justment

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.328049Z

Source-reported events for the cited work

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Observation 794ee285-97d4-45ce-b278-bd2a738a10d6 · outbound

This paper cites Federated optimization in heterogeneous networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Federated optimization in heterogeneous networks

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.395909Z

Source-reported events for the cited work

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Observation c61aa7a3-c788-4280-8ff2-eca798cdef0d · outbound

This paper cites Fe- drs: Federated learning with restricted softmax for label distribution non-iid data.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Fe- drs: Federated learning with restricted softmax for label distribution non-iid data

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.411698Z

Source-reported events for the cited work

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Observation 89385d7b-9213-4eb4-a133-9e8841e39ecd · outbound

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

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 2021

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Observation a736d828-6225-4473-8fbe-54dc28736a10 · outbound

This paper cites Advancing spiking neural networks toward deep residual learning.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Advancing spiking neural networks toward deep residual learning

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.461919Z

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Observation e69af0ee-8536-4f59-8b7e-7930ae236b28 · outbound

This paper cites Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks

Reference 2023

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Source-reported events for the cited work

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Observation 42e01a6b-849c-4e83-a67b-fb44b7ef59cd · outbound

This paper cites Surfs: Sustainable intrusion detection with hierar- chical federated spiking neural networks.

Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Surfs: Sustainable intrusion detection with hierar- chical federated spiking neural networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:42:42.545080Z

Source-reported events for the cited work

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Pith citing papers

Observation 397523d5-c8f8-4a44-9abe-6d170ce9877a · inbound

Edge Intelligence with Spiking Neural Networks cites this paper.

Edge Intelligence with Spiking Neural Networks Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

Reference 37

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Observation adbd91b8-e838-433c-9409-3bd9c955956d · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T21:04:00.288905Z

Source-reported events for the cited work

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