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Paper Citation Record · LEDGER

Overcoming Forgetting in Federated Learning on Non-IID Data

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:47:29.307356Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T23:47:28.874336Z digest=sha256:fcee49fcd2799680d9c7f01f872d1de4f9f7c4f5ed642a9134254a419b39db11

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:c2a463f517b596bf308a4e8415b44d299ca9e1c8b78161365fbff10fe7e5bf59

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=sha256:585e518ed4f8e1e28aaf13d32c2dda284fba2a9f92ee8763df526d7a67d7a084

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:e966dc4f9057079fa2d40342077406e8ffed1576b18f82bfac1d7700486103c4

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=sha256:4fdf9362e3069382d13ef833cc2abe0d747deac6f4823c91517f8f53cc625783

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=sha256:3fd6c1f23a955a5116cce92e90ef9ea73ea072d62c6ab33d0c1c88bdfeb1814c

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:e73870ffa84add812f66ed66da5c1dcb1e4254ff2559369a79466ef9f0841ace

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T07:42:14.419191Z digest=sha256:04f6cc98b64a0a5dcbf725cbe01de68c8c40170db4f3adae079fd408a0669f44

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-09T18:29:59.126343Z digest=sha256:abdd5dc05343985a6b6031687010660299937d1d98fb114143f112da924d3bdf

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T11:07:56.075293Z digest=sha256:5f7ef9ef1317044ccfa860b1d3e6daeccfe2b5fca654c1493ae68476b213fbdc