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Paper Citation Record · LEDGER

Overcoming Forgetting in Federated Learning on Non-IID Data

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1910.07796.

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

pith.paper-citation-record.v1
1910.07796 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:16.248193Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:17:03.676846Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3f88e7ee-4e15-4194-9846-339d47831126 · inbound

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions cites this paper.

Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:48:39.218812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T23:47:28.874336Z digest=sha256:55368fc6a8237781926551e3eae1e9ebb0b8eb541399cc1e3524828e91dabbaa

Observation 3fffeaff-c68d-4017-aa9f-e07073c678d6 · inbound

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning cites this paper.

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T20:18:44.670252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:18:44.670252Z digest=sha256:8a4cbcb10de3826a19c406a669a8538a058c90f31e06f080f8882005a7363003

Observation bd163d23-7d08-402b-9de3-5d6750626b65 · inbound

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence cites this paper.

Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T05:28:38.850345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:28:38.850345Z digest=sha256:db90fd4cc0f036d83769ef4259651e900fb4d3dc3138167df090411ca431bee5

Observation c4ae0d4a-5301-4565-9165-e237a7a5e33a · inbound

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey cites this paper.

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 150

Resolution
unresolved
no resolver link, observed 2026-08-11T12:46:50.547105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:46:50.547105Z digest=sha256:de05198ad46159b8dd637a8955b45d9e79337d23085f24085925d5d4408f1d11

Observation f94c32da-40c8-43ee-9855-86667620d862 · inbound

Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance cites this paper.

Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T23:47:29.307356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:47:29.307356Z digest=sha256:8a85f163287d7c9717ad992ff3baf6882ba3ff69d734e3059222ad85541a734c

Observation 77b57ca6-0229-42c6-b76d-0850bd1f5b0f · inbound

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models cites this paper.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:30.506785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:30.506785Z digest=sha256:8d124e4c3eff98bd2de02cbf5c14ddef3e6b3979cd2115fc3f9e7b64c1aeb2d7

Observation a3a3e999-81de-4e0b-ae44-de10a09df137 · inbound

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting cites this paper.

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:58.193625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:58.193625Z digest=sha256:8637a7cd6a9a129c9682baace36e237913719acb8d360a8bddc60e5f43d09534

Observation 0caa370d-8011-47da-a8d6-10f3d8ce8c52 · inbound

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data cites this paper.

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:48:16.248193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:48:16.248193Z digest=sha256:5846e3cc4f11d8c6da103ad6a843888805f1e97db3f055a22aca22f6d8cdb51c

Observation a9006dcf-3c33-477b-8c6a-8b8253df1b3c · inbound

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments cites this paper.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:23:43.887737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:23:43.887737Z digest=sha256:aff2cea21f6e65ecec93597234575f3e6debf24a9459e0a7123780e8c1b75da0

Observation 551025ad-33a0-4e67-be7d-97b3a51a60f3 · inbound

Accelerated Training of Federated Learning via Second-Order Methods cites this paper.

Accelerated Training of Federated Learning via Second-Order Methods Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:35.503927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:35.503927Z digest=sha256:79dfecd71527b27f547afe816f9df990741057c65a36b89a69325556c0c665fc

Observation c8c0f7a9-6a56-453f-85f7-aef880161bc1 · inbound

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning cites this paper.

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:41.635905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:41.635905Z digest=sha256:1f9b515c694db36295600308fe9332479453a5f891cd0765ad3df5f67d0a2178

Observation f7e9d688-3008-4791-aabb-3df7eddf17b4 · inbound

SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation cites this paper.

SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.783593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:53.783593Z digest=sha256:fb9c2bd3bc2e92dcaf25121f6aea107d5c1e54b95a0e773c968be9d85b55b5f0

Observation e5a674ae-874c-4901-b2bf-7fbc189ffb5c · inbound

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning cites this paper.

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:30.285690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T07:42:14.419191Z digest=sha256:127a033a435a0a8a34107c2ad8892f3e36223cfa362cebba96505cccb2d8a3ba

Observation 1b65ff1c-ac73-492f-ad7f-19c109f030f5 · inbound

FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization cites this paper.

FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:11.738881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T18:29:59.126343Z digest=sha256:3f2ee95f0bd1cf3604c75fa77706099168396e1a7c11b1a6125310301b71a646

Observation 6f26b542-9bab-4b2d-927f-796f10803afb · inbound

Benchmark Evaluation of Federated Learning on Multi-organ Images cites this paper.

Benchmark Evaluation of Federated Learning on Multi-organ Images Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T11:17:03.678128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-10T11:07:56.075293Z digest=sha256:3309b31d0b75d002c1177e0c511a8c78e149ef894d90d4e93c50337dcbf8ed6b