Paper Citation Record · LEDGER

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2505.12245.

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

pith.paper-citation-record.v1
2505.12245 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:08.986217Z

measured 62 of 62 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:40:35.795292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:37.925794Z

Reference resolution

61 of 61 outbound references displayed

verified exact0
verified fuzzy42
unresolved18
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68f41e2d-a3fe-4f71-95d2-214b595dab0f · outbound

This paper cites Ten challenging problems in federated foundation models, 2025.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Ten challenging problems in federated foundation models, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.573037Z

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.

Observation 40af76e6-7013-4915-abf7-d1b543893c49 · outbound

This paper cites Fedfed: Feature distillation against data heterogeneity in federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Fedfed: Feature distillation against data heterogeneity in federated learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.563012Z

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.

Observation a51598c2-1373-4ba3-82d7-4721f01d4b55 · outbound

This paper cites Advances and open challenges in federated foundation models, 2024.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Advances and open challenges in federated foundation models, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.553651Z

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.

Observation d4a5693b-2077-4ad1-ba34-c7bedf59e161 · outbound

This paper cites Balancing similarity and complementarity for federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Balancing similarity and complementarity for federated learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.543599Z

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.

Observation 6ecbd729-7f4e-40af-b84b-e2e855f791a8 · outbound

This paper cites FedCal: achieving local and global calibration in federated learning via aggregated parameterized scaler.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data FedCal: achieving local and global calibration in federated learning via aggregated parameterized scaler

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.533741Z

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.

Observation b30bcfd5-7794-4725-93c6-c49e1c22b1cb · outbound

This paper cites Towards efficient asynchronous federated learning in heterogeneous edge environments.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Towards efficient asynchronous federated learning in heterogeneous edge environments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.523457Z

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.

Observation d4f366b5-7cd4-41c6-835b-ab49e922220c · outbound

This paper cites Heterogeneity-guided client sampling: Towards fast and efficient non-iid federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Heterogeneity-guided client sampling: Towards fast and efficient non-iid federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.513708Z

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.

Observation 7ca608e2-67b4-44d9-9933-5349d4897d70 · outbound

This paper cites FedGMKD: An efficient prototype feder- ated learning framework through knowledge distillation and discrepancy-aware aggregation.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data FedGMKD: An efficient prototype feder- ated learning framework through knowledge distillation and discrepancy-aware aggregation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.503507Z

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.

Observation e2a1de3a-4245-4e4a-8105-9c30dd50a0ec · outbound

This paper cites Confusion-resistant federated learning via diffusion-based data harmonization on non-iid data.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Confusion-resistant federated learning via diffusion-based data harmonization on non-iid data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.493214Z

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.

Observation b270f05f-eb9b-4774-b766-0f7631c84147 · outbound

This paper cites Personalized federated continual learning via multi-granularity prompt.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Personalized federated continual learning via multi-granularity prompt

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.483245Z

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.

Observation 481666e6-3f4d-4771-bd26-d0a07c078ccb · outbound

This paper cites Target: Federated class-continual learning via exemplar-free distillation.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Target: Federated class-continual learning via exemplar-free distillation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.472679Z

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.

Observation a3988449-8df2-4f8d-b3b0-9e9cfaf6c157 · outbound

This paper cites Federated continual learning with weighted inter-client transfer.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Federated continual learning with weighted inter-client transfer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.464227Z

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.

Observation bea3cab6-73dc-4942-8ea9-8f9e074700a8 · outbound

This paper cites A data-free approach to mitigate catastrophic forgetting in federated class incremental learning for vision tasks.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data A data-free approach to mitigate catastrophic forgetting in federated class incremental learning for vision tasks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.455918Z

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.

Observation fab2cd59-2f33-4587-8758-2cc047aa4121 · outbound

This paper cites Cross-FCL: Toward a cross-edge federated continual learning framework in mobile edge computing systems.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Cross-FCL: Toward a cross-edge federated continual learning framework in mobile edge computing systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.446827Z

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.

Observation 353a8677-f475-40b2-9bd3-60da45657fbd · outbound

This paper cites Federated continual learning via prompt-based dual knowledge transfer.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Federated continual learning via prompt-based dual knowledge transfer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.437134Z

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.

Observation 154a4505-e617-42f0-b8bd-0ddbb8561d8a · outbound

This paper cites Federated continual learn- ing via knowledge fusion: A survey.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Federated continual learn- ing via knowledge fusion: A survey

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.427338Z

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.

Observation fa0bf4cb-07b3-46b9-bfe1-a64acdc8a90c · outbound

This paper cites Handling spatial-temporal data heterogeneity for federated continual learning via tail anchor.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Handling spatial-temporal data heterogeneity for federated continual learning via tail anchor

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.417014Z

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.

Observation 5e664e7f-4b1b-4268-85db-dc98f4a00737 · outbound

This paper cites Overcoming spatial-temporal catastrophic forgetting for federated class-incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Overcoming spatial-temporal catastrophic forgetting for federated class-incremental learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.406787Z

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.

Observation 0a891e96-98e8-4dc6-8d2a-2ccd0d2d1f01 · outbound

This paper cites Online hyperparameter optimization for class-incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Online hyperparameter optimization for class-incremental learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.396483Z

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.

Observation 31cecf3f-d781-404f-b932-6a4463799a03 · outbound

This paper cites GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.383800Z

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.

Observation 8ccaf078-bff8-483f-b4f3-aee0d0ff66eb · outbound

This paper cites Federated class-incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Federated class-incremental learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.372929Z

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.

Observation 54ba237f-a076-4521-8ee6-36c58a76490f · outbound

This paper cites Continual federated learning based on knowledge distillation.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Continual federated learning based on knowledge distillation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.362789Z

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.

Observation 0d2e7ae6-e77d-42b4-8ba4-71d01c374d83 · outbound

This paper cites Text-enhanced data-free approach for federated class-incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Text-enhanced data-free approach for federated class-incremental learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.352272Z

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.

Observation aad730ce-2a3c-456f-9715-49357c39b262 · outbound

This paper cites Non-iid data and continual learning processes in federated learning: A long road ahead.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Non-iid data and continual learning processes in federated learning: A long road ahead

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.341324Z

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.

Observation 0621964a-68ed-40b0-bc76-ffaff1fd269b · outbound

This paper cites Ranpac: Random projections and pre-trained models for continual learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Ranpac: Random projections and pre-trained models for continual learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.329213Z

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.

Observation 01258af2-0a4a-4d34-87c4-a365cf49ebc8 · outbound

This paper cites Where to begin? on the impact of pre-training and initialization in federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Where to begin? on the impact of pre-training and initialization in federated learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.318461Z

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.

Observation 59701f69-6fc8-4d89-a62c-0318ce517f9a · outbound

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

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data FedBERT: When federated learning meets pre-training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.307570Z

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.

Observation e2eca42d-0583-4726-87c4-6db7e7d7883d · outbound

This paper cites On the importance and applicability of pre-training for federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data On the importance and applicability of pre-training for federated learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.295727Z

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.

Observation 5f73472c-bca5-4a75-b643-c258a55300ef · outbound

This paper cites An empirical investigation of the role of pre-training in lifelong learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data An empirical investigation of the role of pre-training in lifelong learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.284779Z

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.

Observation efde4330-0c9a-41b7-86cc-49a8ac745591 · outbound

This paper cites ACIL: Analytic class-incremental learning with absolute memorization and privacy protection.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data ACIL: Analytic class-incremental learning with absolute memorization and privacy protection

Reference 30

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Source-reported events for the cited work

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Observation e93f3b61-4e1f-4212-b43c-0f9fbbb4a3bd · outbound

This paper cites Pseudoinverse learning algorithm for feedforward neural networks.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Pseudoinverse learning algorithm for feedforward neural networks

Reference 31

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Source-reported events for the cited work

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Observation 9102a421-bacc-4456-bc28-f1f7ddd5ff0f · outbound

This paper cites A progressive stacking pseudoinverse learning framework via active learning in random subspaces.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data A progressive stacking pseudoinverse learning framework via active learning in random subspaces

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.888375Z

Source-reported events for the cited work

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Observation 0a1684e5-28dc-4606-87af-28e3a1f37f3a · outbound

This paper cites Bayesian pseudoinverse learners: From uncertainty to deterministic learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Bayesian pseudoinverse learners: From uncertainty to deterministic learning

Reference 33

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Source-reported events for the cited work

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Observation 7e1c86b6-4881-495f-8e5a-d8530329837d · outbound

This paper cites Universal approximation using radial-basis-function networks.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Universal approximation using radial-basis-function networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.249692Z

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.

Observation f33bbb55-893f-4135-afb0-fb3d8f975232 · outbound

This paper cites Learning from the kernel and the range space.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Learning from the kernel and the range space

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.899199Z

Source-reported events for the cited work

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Observation 35e5b202-ea04-44e8-a344-a61e2d0acf22 · outbound

This paper cites Noniterative deep learning: Incorporating re- stricted boltzmann machine into multilayer random weight neural networks.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Noniterative deep learning: Incorporating re- stricted boltzmann machine into multilayer random weight neural networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.903766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dea0871-7ee8-432f-9ca9-c7208e12fdda · outbound

This paper cites An analytic formulation of con- volutional neural network learning for pattern recognition.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data An analytic formulation of con- volutional neural network learning for pattern recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.907120Z

Source-reported events for the cited work

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Observation 74c64f19-95e9-4cd7-85cf-4766e153d307 · outbound

This paper cites Densepilae: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Densepilae: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.220165Z

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.

Observation e6f19215-1a83-400e-95b0-e9d891d08f15 · outbound

This paper cites Blockwise recursive moore–penrose inverse for network learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Blockwise recursive moore–penrose inverse for network learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.913518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9edf85a-5636-4078-ae6b-82da104b8a39 · outbound

This paper cites AFL: A single-round analytic approach for federated learing with pre-trained models.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data AFL: A single-round analytic approach for federated learing with pre-trained models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.203635Z

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.

Observation 97dc0750-13cf-4635-9d87-4e0e440c6c46 · outbound

This paper cites Locality sensitive sparse encoding for learning world models online.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Locality sensitive sparse encoding for learning world models online

Reference 41

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Source-reported events for the cited work

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Observation c00acfd9-2e88-405f-8b54-91dda2280b79 · outbound

This paper cites Order-robust class incremental learning: Graph-driven dynamic similarity grouping.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Order-robust class incremental learning: Graph-driven dynamic similarity grouping

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.187812Z

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.

Observation 2be8b184-2b65-4123-83b6-21682298f30c · outbound

This paper cites Knowledge memorization and rumination for pre-trained model-based class-incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Knowledge memorization and rumination for pre-trained model-based class-incremental learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.177563Z

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.

Observation c55615de-adcd-487f-892b-94f2a43fbfce · outbound

This paper cites TSVD: Bridging theory and practice in continual learning with pre-trained models.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data TSVD: Bridging theory and practice in continual learning with pre-trained models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.929278Z

Source-reported events for the cited work

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Observation 4128f62a-e7d7-4033-955f-ca53f82b7473 · outbound

This paper cites Boosting multiple views for pretrained-based continual learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Boosting multiple views for pretrained-based continual learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.161429Z

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.

Observation f26a8261-17cb-42b2-9c31-2189d9e3b58b · outbound

This paper cites Continual learning with pre-trained models: A survey.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Continual learning with pre-trained models: A survey

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.934698Z

Source-reported events for the cited work

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Observation c96125f4-57fa-4651-b5c0-52c60b7e8ce8 · outbound

This paper cites On Loss Functions for Deep Neural Networks in Classification.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data On Loss Functions for Deep Neural Networks in Classification

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.937434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e36986f-2724-4f97-b652-202365f58728 · outbound

This paper cites Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.940432Z

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Unavailable: canonical work link unavailable.

Observation a442fa4e-9624-4897-9238-f178a2af21c0 · outbound

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

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Learning multiple layers of features from tiny images

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.943240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a7ef6f8-4cc0-4e0a-9e66-3017899b4946 · outbound

This paper cites Tiny imagenet visual recognition challenge.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Tiny imagenet visual recognition challenge

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.946722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb13ca1-db2f-403b-99cf-f833ebc5acc4 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.950205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2ee457-fb36-4536-8db2-1581fb34516e · outbound

This paper cites Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.122162Z

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.

Observation afa9d1e1-3bed-43a0-bd4c-5c9b1267e17f · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Ensemble distillation for robust model fusion in federated learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.111328Z

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.

Observation e11fdaf3-a7b0-424e-b84d-fc50836bb43e · outbound

This paper cites an unresolved cited work.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:46:09.100334Z

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.

Observation aebae722-2e99-48d1-9784-f6ad51f63524 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:46:08.963957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8299b2e2-291e-459f-aaac-6e2f5195949e · outbound

This paper cites Learning without forgetting.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Learning without forgetting

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.081554Z

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.

Observation f21907d9-1a70-4938-a7c8-faf3c9d6b8a2 · outbound

This paper cites Overcoming catastrophic forgetting by incremental moment matching.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Overcoming catastrophic forgetting by incremental moment matching

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.070147Z

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.

Observation cf141d12-ca56-4cc3-a3cd-077b2af1b348 · outbound

This paper cites Deep residual learning for im- age recognition.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Deep residual learning for im- age recognition

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.060107Z

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.

Observation 9fb30ddf-09e4-43b2-a6d7-9e09712761ab · outbound

This paper cites Re-fed+: A better replay strategy for federated incremental learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Re-fed+: A better replay strategy for federated incremental learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.051160Z

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.

Observation 678a2fb3-0915-4ea4-9f08-605812bff159 · outbound

This paper cites An aggregation-free federated learning for tackling data heterogeneity.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data An aggregation-free federated learning for tackling data heterogeneity

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:46:09.041423Z

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.

Observation e66a6d14-e4b3-4ed4-a4c6-c60e5b3b814d · outbound

This paper cites Preservation of the global knowledge by not-true distillation in federated learning.

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data Preservation of the global knowledge by not-true distillation in federated learning

Reference 61

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:46:09.029672Z

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.

Pith citing papers

Observation e338ce48-a8de-4188-92c7-ee0c0d852520 · inbound

Accurate and Resource-Efficient Federated Continual Learning cites this paper.

Accurate and Resource-Efficient Federated Continual Learning AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:37.927078Z

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.