Paper Citation Record · LEDGER

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.13576.

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

pith.paper-citation-record.v1
2505.13576 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:44.194433Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy26
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb34cbc2-ff0f-45d6-a5f9-c13778a96ec4 · outbound

This paper cites Resource-Efficient Federated Learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Resource-Efficient Federated Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:23:44.689063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 247a5ad4-3594-4a6a-9c12-97e239be06c9 · outbound

This paper cites Refl: Resource-efficient federated learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Refl: Resource-efficient federated learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.468075Z

Source-reported events for the cited work

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Observation 6ff7f45d-ba12-4fb4-bc5d-303b0df74fa9 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated Learning Based on Dynamic Regularization

Reference 3

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Observation 52d1b3b1-df88-4e29-9975-84bb3f181fcb · outbound

This paper cites Flashback: Understanding and Mitigating Forgetting in Federated Learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Flashback: Understanding and Mitigating Forgetting in Federated Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:23:44.600235Z

Source-reported events for the cited work

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Observation 49fe67e6-8c77-43da-a59f-4faf79f450a5 · outbound

This paper cites Riemannian walk for incremental learning: Under- standing forgetting and intransigence.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Riemannian walk for incremental learning: Under- standing forgetting and intransigence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.337060Z

Source-reported events for the cited work

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Observation edbdc368-b5de-40dd-978e-a44ab6f66d96 · outbound

This paper cites FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.229157Z

Source-reported events for the cited work

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Observation 5ee22d5c-1238-4019-a9a9-0da8bf2d2ec2 · outbound

This paper cites Inferring cognitive wellness from motor patterns.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Inferring cognitive wellness from motor patterns

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.247066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ac2d80a-417e-47ca-96a3-a7d3d398da75 · outbound

This paper cites Lifelong machine learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Lifelong machine learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.171004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be2eec06-c186-44c3-a192-b235c43bdad4 · outbound

This paper cites To store or not? online data selection for federated learning with limited storage.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments To store or not? online data selection for federated learning with limited storage

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.245296Z

Source-reported events for the cited work

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Observation 4cd0d804-6d37-4200-8aee-8bfcc32bf1e0 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Fast federated learning in the presence of arbitrary device unavailability

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.139152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16ff4a61-008a-409b-a3a5-32e26631342f · outbound

This paper cites Weighted averaging federated learning based on example forgetting events in label imbalanced non-iid.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Weighted averaging federated learning based on example forgetting events in label imbalanced non-iid

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:46.073128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 986f21a9-8b9f-4bd6-bd26-5960945c2866 · outbound

This paper cites A framework for realistic simulation of daily human activity.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments A framework for realistic simulation of daily human activity

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.979803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b9ab06c-82f9-4f47-8b0f-074b88f55314 · outbound

This paper cites Budget-aware online control of edge federated learning on streaming data with stochastic inputs.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Budget-aware online control of edge federated learning on streaming data with stochastic inputs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.960193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 440e5ecc-1e25-4b23-b613-5aa366ea781c · outbound

This paper cites Advances and open problems in federated learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Advances and open problems in federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.895980Z

Source-reported events for the cited work

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Observation 66b4dfb7-7778-42b4-b69d-ef3e2ec0bff8 · outbound

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

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Scaffold: Stochastic controlled averaging for federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.741118Z

Source-reported events for the cited work

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Observation d21fcf1f-9588-4046-ab2d-687b2fdfc54c · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated Learning: Strategies for Improving Communication Efficiency

Reference 16

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Source-reported events for the cited work

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Observation 464ab4b9-3750-464d-90ac-69f519d67f29 · outbound

This paper cites Real time human activity recognition using tri-axial ac- celerometers.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Real time human activity recognition using tri-axial ac- celerometers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.720662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbdfbe0d-18f2-4a8a-892c-e84bc43947c4 · outbound

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

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Learning multiple layers of features from tiny images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.489623Z

Source-reported events for the cited work

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Observation d4b620e6-81dc-46a0-8cd3-841929d3ee4e · outbound

This paper cites Fedscale: Benchmark- ing model and system performance of federated learning at scale.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Fedscale: Benchmark- ing model and system performance of federated learning at scale

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.689417Z

Source-reported events for the cited work

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Observation 3ef767f4-1c5d-4ee4-a49c-4a06dd650eee · outbound

This paper cites Gradient-based learning applied to document recognition.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Gradient-based learning applied to document recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.531880Z

Source-reported events for the cited work

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Observation eb3e74f8-2092-4d1b-ab0d-899e6ad94376 · outbound

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

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Preservation of the global knowledge by not-true distillation in federated learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.479473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76eaad75-f14d-4c64-a4e3-cba3d8977b72 · outbound

This paper cites Resource-efficient continual learning for sensor-based human activity recognition.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Resource-efficient continual learning for sensor-based human activity recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.462185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 269f6866-2e08-47f8-a9aa-6b40976c20a6 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments FedMD: Heterogenous Federated Learning via Model Distillation

Reference 23

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Source-reported events for the cited work

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Observation b5af6beb-7981-4b99-863c-8391846d4928 · outbound

This paper cites Model-contrastive federated learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Model-contrastive federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.443340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e8c0b2e-8f92-402b-a612-773b81e600d5 · outbound

This paper cites Federated optimization in heterogeneous networks.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated optimization in heterogeneous networks

Reference 25

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Source-reported events for the cited work

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Observation e8b93634-07cb-4ba6-8c93-a48787bb5394 · outbound

This paper cites Dynamite: Dynamic interplay of mini-batch size and aggregation frequency for federated learning with static and streaming dataset.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Dynamite: Dynamic interplay of mini-batch size and aggregation frequency for federated learning with static and streaming dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.238698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06cf2a0e-77d9-4a7e-a490-50891ae486c1 · outbound

This paper cites Gradma: A gradient-memory-based accelerated federated learning with alleviated catastrophic forgetting.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Gradma: A gradient-memory-based accelerated federated learning with alleviated catastrophic forgetting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.207620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dde02963-dc95-4479-96a3-8e81b7b9335b · outbound

This paper cites Fedca: Efficient federated learning with client autonomy.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Fedca: Efficient federated learning with client autonomy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.161198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2d393ad-f9d8-4d84-9055-92bdee1eaae4 · outbound

This paper cites Federated learning for data streams.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated learning for data streams

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.115330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc3325fb-cb5f-4ee2-b31a-9d2f018ccf9a · outbound

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

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Communication-efficient learning of deep networks from decentralized data

Reference 30

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Source-reported events for the cited work

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Observation 92a0192d-96dc-4a10-94b6-7346e873fd88 · outbound

This paper cites Better generative replay for continual federated learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Better generative replay for continual federated learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.877817Z

Source-reported events for the cited work

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Observation 7a0725f1-329d-47b2-b7ee-10755e4a72cc · outbound

This paper cites Online continual learning for human activity recognition.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Online continual learning for human activity recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.087395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites Overcoming Forgetting in Federated Learning on Non-IID Data.

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

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Observation 37d89998-8e98-4329-b022-b5ed1fd3078e · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Local SGD Converges Fast and Communicates Little

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:43.892988Z

Source-reported events for the cited work

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Observation 972c96bc-9411-46ed-a38d-b8821055fa19 · outbound

This paper cites Addressing client drift in federated continual learning with adaptive optimization.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Addressing client drift in federated continual learning with adaptive optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:45.047034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 812912a2-afea-4fce-9b70-819aced082ca · outbound

This paper cites On the local cache update rules in streaming federated learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments On the local cache update rules in streaming federated learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:44.917255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf0cf7cb-57e6-49ba-b9f3-10a720aaa920 · outbound

This paper cites Federated Learning with Matched Averaging.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated Learning with Matched Averaging

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:44.040210Z

Source-reported events for the cited work

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Observation 85134745-c59a-4d3f-9799-e5749a76c479 · outbound

This paper cites Fedds: Data selection for streaming federated learning with lim- ited storage.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Fedds: Data selection for streaming federated learning with lim- ited storage

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:44.899537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d42fd336-ffef-4c68-a22a-f40a09fcd07f · outbound

This paper cites Wisdm smartphone and smartwatch activity and biomet- rics dataset.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Wisdm smartphone and smartwatch activity and biomet- rics dataset

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:44.883764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f587642-8f7e-4d4f-9388-b9f4748ac98d · outbound

This paper cites A federated learning system with enhanced feature extraction for human activity recognition.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments A federated learning system with enhanced feature extraction for human activity recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:44.770261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3eb43a8d-e804-4aa3-9417-5b582302ba7d · outbound

This paper cites Acceleration of Federated Learning with Alleviated Forgetting in Local Training.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Acceleration of Federated Learning with Alleviated Forgetting in Local Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:44.060947Z

Source-reported events for the cited work

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Observation f458cb7f-eac7-4a5d-8e69-466133587c37 · outbound

This paper cites Flash: Heterogeneity-aware federated learning at scale.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Flash: Heterogeneity-aware federated learning at scale

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:23:44.752063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 194ac281-312f-4747-acfc-e0b17b586a66 · outbound

This paper cites Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:44.189214Z

Source-reported events for the cited work

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Observation bb76fd16-0156-4bcf-a9a8-8e3bd7aea301 · outbound

This paper cites Federated Learning with Non-IID Data.

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

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:23:44.194433Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.