Paper Citation Record · LEDGER

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.20557.

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

pith.paper-citation-record.v1
2508.20557 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 4167c56a-11d5-4d8e-9dc4-daea4e459edc · outbound

This paper cites The singapore personal data protection act and an assess- ment of future trends in data privacy reform,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data The singapore personal data protection act and an assess- ment of future trends in data privacy reform,

Reference 1

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This paper cites General data protection regulation,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data General data protection regulation,

Reference 2

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

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Communication-efficient learning of deep networks from decentralized data,

Reference 3

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This paper cites Fedbert: When federated learning meets pre-training,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fedbert: When federated learning meets pre-training,

Reference 4

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This paper cites Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning

Reference 5

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This paper cites Federated model decomposition with private vocabulary for text classification,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Federated model decomposition with private vocabulary for text classification,

Reference 6

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This paper cites Fednlp: Benchmarking federated learning methods for natural language processing tasks,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fednlp: Benchmarking federated learning methods for natural language processing tasks,

Reference 7

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Observation ddbe6280-5ece-4708-93a6-1d6590cb9cc2 · outbound

This paper cites Flightner: A federated learn- ing approach to lightweight named-entity recognition,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Flightner: A federated learn- ing approach to lightweight named-entity recognition,

Reference 8

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This paper cites FedID: Federated interactive distillation for large-scale pretraining language models,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data FedID: Federated interactive distillation for large-scale pretraining language models,

Reference 9

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This paper cites Communication-efficient on-device machine learning: Federated distil- lation and augmentation under non-iid private data,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Communication-efficient on-device machine learning: Federated distil- lation and augmentation under non-iid private data,

Reference 10

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Observation 44b249f0-af9c-4764-9d10-e43f1027c1bb · outbound

This paper cites Fedmd: Heterogenous federated learning via model distillation,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fedmd: Heterogenous federated learning via model distillation,

Reference 11

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This paper cites Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

Reference 12

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This paper cites Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data,

Reference 13

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This paper cites Mhat: An efficient model-heterogenous aggregation training scheme for federated learning,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Mhat: An efficient model-heterogenous aggregation training scheme for federated learning,

Reference 14

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This paper cites Preserving privacy in federated learning with ensem- ble cross-domain knowledge distillation,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Preserving privacy in federated learning with ensem- ble cross-domain knowledge distillation,

Reference 15

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Observation e7a787c7-1e4a-4712-803d-b082a8310244 · outbound

This paper cites Who speaks what language to whom and when?.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Who speaks what language to whom and when?

Reference 16

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This paper cites FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning

Reference 17

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This paper cites Feded: Federated learning via ensemble distillation for medical relation extraction,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Feded: Federated learning via ensemble distillation for medical relation extraction,

Reference 18

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Faster adaptive federated learn- ing,

Reference 19

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This paper cites Rethinking federated learning with domain shift: A prototype view,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Rethinking federated learning with domain shift: A prototype view,

Reference 20

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This paper cites Vertical federated learning: Concepts, advances, and challenges,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Vertical federated learning: Concepts, advances, and challenges,

Reference 21

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data A robust privacy-preserving federated learning model against model poisoning attacks,

Reference 22

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This paper cites Federated Learning Meets Natural Language Processing: A Survey.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Federated Learning Meets Natural Language Processing: A Survey

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Extracting training data from large language models,

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Ensemble distillation for robust model fusion in federated learning,

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fedproto: Federated prototype learning across heterogeneous clients,

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data To distill or not to distill: towards fast, accurate and communication efficient federated distillation learning,

Reference 27

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Feddkd: Federated learning with decentral- ized knowledge distillation,

Reference 28

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This paper cites Dafkd: Domain-aware federated knowledge distillation,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Dafkd: Domain-aware federated knowledge distillation,

Reference 29

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fedfed: Feature distillation against data heterogeneity in federated learning,

Reference 30

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This paper cites Federated distillation and blockchain empowered secure knowledge sharing for internet of medical things,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Federated distillation and blockchain empowered secure knowledge sharing for internet of medical things,

Reference 31

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Fedal: Black-box federated knowledge distillation enabled by adversarial learning,

Reference 32

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Advances and open problems in federated learning,

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

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Model-contrastive federated learning,

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Addressing class imbalance in federated learning,

Reference 36

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Efficient federated domain translation,

Reference 37

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This paper cites Federated learning for speech recognition: Revisiting current trends towards large-scale asr,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Federated learning for speech recognition: Revisiting current trends towards large-scale asr,

Reference 38

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This paper cites Personalized federated learning on non-iid data via group-based meta-learning,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Personalized federated learning on non-iid data via group-based meta-learning,

Reference 39

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This paper cites Data independent warmup scheme for non-iid federated learning,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Data independent warmup scheme for non-iid federated learning,

Reference 40

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This paper cites Federated learning with non-iid data: A survey,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Federated learning with non-iid data: A survey,

Reference 41

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Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Feature matching data synthesis for non-iid federated learning,

Reference 42

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This paper cites Distributions of the kullback–leibler divergence with applications,.

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Distributions of the kullback–leibler divergence with applications,

Reference 43

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

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 44

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