Paper Citation Record · LEDGER

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2411.11044.

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

pith.paper-citation-record.v1
2411.11044 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:04:58.784983Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy25
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bca68e9-dae6-4681-94a3-4232a4052501 · outbound

This paper cites Federated learning: Collabor ative ma- chine learning without centralized training data,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Federated learning: Collabor ative ma- chine learning without centralized training data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.361927Z

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Observation cc47cfb2-c917-4de2-8acb-d94ac464e448 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.325059Z

Source-reported events for the cited work

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Observation e9b18c88-362c-4daf-aea7-885545b28bdd · outbound

This paper cites Long-term privacy-preser ving aggrega- tion with user-dynamics for federated learning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Long-term privacy-preser ving aggrega- tion with user-dynamics for federated learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.279768Z

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Observation 12d32eac-f496-41c0-a7ab-7e8d46b715d3 · outbound

This paper cites Efﬁcient dropout- resilient ag- gregation for privacy-preserving machine learning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Efﬁcient dropout- resilient ag- gregation for privacy-preserving machine learning,

Reference 4

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Observation 4683fd92-6553-4f65-89dc-104b40b9279f · outbound

This paper cites Dyn amic user clustering for efﬁcient and privacy-preserving feder ated learning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Dyn amic user clustering for efﬁcient and privacy-preserving feder ated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.197325Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4078781-6ab6-481d-aaf2-4f080b4e3f58 · outbound

This paper cites General data protection regulatio n (gdpr),.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation General data protection regulatio n (gdpr),

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.155309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 954d822b-aed6-4ee1-a5a2-67eabf8dfc97 · outbound

This paper cites An introduction to the california consumer privacy act (ccpa),.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation An introduction to the california consumer privacy act (ccpa),

Reference 7

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Source-reported events for the cited work

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Observation f66d4aa9-78ca-4486-b5bd-c3ec4d0f08f3 · outbound

This paper cites A survey on federated unlearning: Challenges, methods, an d future directions,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation A survey on federated unlearning: Challenges, methods, an d future directions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:00.031529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19d9d318-a316-476a-9721-95ae9ca3f4ba · outbound

This paper cites Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:04:58.513589Z

Source-reported events for the cited work

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Observation 49317d85-9c3b-43c7-9914-463526162ef1 · outbound

This paper cites Towards making systems forget with m achine unlearning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Towards making systems forget with m achine unlearning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.962884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe6f325b-4045-49ba-bc26-b5e4d30e7cef · outbound

This paper cites Machine unlea rning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Machine unlea rning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.924849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f7446cbd-909b-4db5-9971-72d9ef00837c · outbound

This paper cites Fedrecover: Rec overing from poisoning attacks in federated learning using historical i nformation,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Fedrecover: Rec overing from poisoning attacks in federated learning using historical i nformation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.889539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db33f923-320b-4cea-9a94-53e04c3d1a81 · outbound

This paper cites Memb ership inference attacks against machine learning models,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Memb ership inference attacks against machine learning models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.835469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33fe27db-a80d-4f66-8aa4-0b08b949c56e · outbound

This paper cites Model invers ion attacks that exploit conﬁdence information and basic countermeasu res,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Model invers ion attacks that exploit conﬁdence information and basic countermeasu res,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.791312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c0fdd1a-b433-44b0-ac25-a79249d51a7f · outbound

This paper cites Differential privacy,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Differential privacy,

Reference 15

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Source-reported events for the cited work

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Observation 38e551b2-7e7a-45b6-b989-4f6d51ed05da · outbound

This paper cites Disclosure avoidance for the 2020 census: A n introduction,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Disclosure avoidance for the 2020 census: A n introduction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.729113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7207b2f9-22af-4256-bebc-ca863c489854 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation The algorithmic foundations of differential privacy,

Reference 17

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Source-reported events for the cited work

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Observation a931c4fb-c3b9-480e-8aea-3be81fffce08 · outbound

This paper cites Subspace based Federated Unlearning.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Subspace based Federated Unlearning

Reference 18

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Source-reported events for the cited work

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Observation 9b29a862-8a85-479a-b269-c2a2271dbaed · outbound

This paper cites SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization

Reference 19

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Observation d1583e04-235a-4e00-b3c6-0275681cf81b · outbound

This paper cites Fedrec overy: Differentially private machine unlearning for federated l earning frame- works,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Fedrec overy: Differentially private machine unlearning for federated l earning frame- works,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.673853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b7cfda0-b18a-425e-9c9d-b8d0d8a8fdaa · outbound

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

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Communication-efﬁcient learning of deep networks from de centralized data,

Reference 21

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Source-reported events for the cited work

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Observation 9eec23f3-70d4-49d7-b284-04e71c79449d · outbound

This paper cites Generalized Byzantine-tolerant SGD.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Generalized Byzantine-tolerant SGD

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:04:58.638511Z

Source-reported events for the cited work

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Observation 0d6c8976-8697-4642-8253-bd86a3f30748 · outbound

This paper cites Byzantine- robust dis- tributed learning: Towards optimal statistical rates,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Byzantine- robust dis- tributed learning: Towards optimal statistical rates,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.568778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06f0a735-773b-4c68-bb3c-b432e7acdb73 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Federated learning with differential privacy: Algorithms and performance analysis,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21c4a0c4-dfda-4914-ad8a-0705b2557eae · outbound

This paper cites Differentiall y private feder- ated learning on heterogeneous data,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Differentiall y private feder- ated learning on heterogeneous data,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.495270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation acd5bf2e-ba44-4537-8da3-55d97bb69a78 · outbound

This paper cites Personalized fe derated learning with differential privacy,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Personalized fe derated learning with differential privacy,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.447751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d350b4ca-ccf5-4e0f-afd2-ef37fc9b834e · outbound

This paper cites On the byzantine robustness of clustered federated learning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation On the byzantine robustness of clustered federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.422935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3c1b2e7-77f6-40c6-bb4b-93ea92474f6f · outbound

This paper cites E dge-based communication optimization for distributed federated lea rning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation E dge-based communication optimization for distributed federated lea rning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.376208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e53dc1c4-5497-4c9a-aef2-b4856ae11123 · outbound

This paper cites FLTrust: Byzantine -robust federated learning via trust bootstrapping,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation FLTrust: Byzantine -robust federated learning via trust bootstrapping,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.338417Z

Source-reported events for the cited work

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Observation 82d92312-63d3-484e-bce6-032a68401aae · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 30

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Observation edc99b1c-2491-4f8f-891b-824ab0aacc4d · outbound

This paper cites Hidden trig ger backdoor attacks,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Hidden trig ger backdoor attacks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.296138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15849378-720a-4e9f-9c87-f8c1609cb6d8 · outbound

This paper cites How to backdoor federated learning,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation How to backdoor federated learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.273394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 433b59cf-e092-42b5-ac2a-6372f8ed95a2 · outbound

This paper cites The MNIST database of handwritten digit image s for machine learning research,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation The MNIST database of handwritten digit image s for machine learning research,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.218890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 384c4074-9473-4b32-b648-9a94f1db8966 · outbound

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

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Learning multiple layers of features from tiny images,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:04:58.774735Z

Source-reported events for the cited work

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Observation 53d3e799-7fd9-4f66-8042-2322b389b6d7 · outbound

This paper cites Character-level convo lutional net- works for text classiﬁcation,.

Efficient Federated Unlearning with Adaptive Differential Privacy Preservation Character-level convo lutional net- works for text classiﬁcation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:04:59.150505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.