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Paper Citation Record · LEDGER

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.18992.

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

pith.paper-citation-record.v1
2412.18992 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:07:29.855150Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

36 of 36 outbound references displayed

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  • verified fuzzy31
  • unresolved4
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 05c6ece9-7335-48b4-98f0-8bf882e225e9 · outbound

This paper cites Op- timal rates for nonparametric density estimation under communication constraints.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Op- timal rates for nonparametric density estimation under communication constraints

Reference 1

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation bbf465da-392c-4c9b-8980-46b0723ff543 · outbound

This paper cites Unified lower bounds for interactive high-dimensional estimation under information constraints.Advances in Neural Information Processing Systems , 36, 2024.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Unified lower bounds for interactive high-dimensional estimation under information constraints.Advances in Neural Information Processing Systems , 36, 2024

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cd42cb45-4026-4e66-9a1a-a588e6b8ad3f · outbound

This paper cites Discrete distribution estimation under user-level local differential privacy.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Discrete distribution estimation under user-level local differential privacy

Reference 3

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4f85a6a5-2caa-4033-bb14-dbe26e06e312 · outbound

This paper cites Differentially private assouad, fano, and le cam.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Differentially private assouad, fano, and le cam

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 494fa719-e191-4a2a-8ca5-1cf16a8635a0 · outbound

This paper cites Fisher information under local differential privacy.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Fisher information under local differential privacy

Reference 5

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.724602Z digest=sha256:42ef4fefabc5a3eda111c2a47ecf21aa03def64d61ad0a1d7ac09cc01235d938

Observation 148e02f4-6812-4a75-986e-a98b1b54d316 · outbound

This paper cites Federated Learning for Emoji Prediction in a Mobile Keyboard.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Federated Learning for Emoji Prediction in a Mobile Keyboard

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:07:29.729355Z digest=sha256:9def734fa06d2305904c2e4e23b75efedd9c2c09bec2bcd590d43fbc9c8ff597

Observation 8fe46bdd-ea43-4519-981f-c6437618a3e7 · outbound

This paper cites Tony Cai, Abhinav Chakraborty, and Lasse Vuursteen.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Tony Cai, Abhinav Chakraborty, and Lasse Vuursteen

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.734572Z digest=sha256:be5cc8eca8b4d36cdfe0ca5c5a62a3da2c20f85e6e96c1fb8212e7321ae9cd2f

Observation c691cc48-6fcc-4089-9cd6-4e3ed298d9fc · outbound

This paper cites Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T01:07:29.738850Z digest=sha256:df4bab50d47e36bc409d7b68882bfbb60d75317406b2eb30a3bcdca2fbfa4294

Observation 48c42499-f8d3-40f3-a0f4-7a9b70f3ae71 · outbound

This paper cites Tony Cai and Ming Yuan.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Tony Cai and Ming Yuan

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.743298Z digest=sha256:15afa1cd6672c09c830207c200bd610882661ad0e2388dc74b7c376b378aa37a

Observation 06939813-4098-4828-83d2-1c3c837b45e5 · outbound

This paper cites Private distribution testing with heterogeneous constraints: Your epsilon might not be mine.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Private distribution testing with heterogeneous constraints: Your epsilon might not be mine

Reference 10

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.747219Z digest=sha256:b6a82d08a123361401fe99db65c2a603fdb6a1cd69d85ee1a3d4fe1430218c14

Observation 2607bbfa-d931-4858-9d28-a0a0ceab33b6 · outbound

This paper cites Jordan, Xuelin Yang, Lydia Zakynthinou, and Nikita Zhivotovskiy.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Jordan, Xuelin Yang, Lydia Zakynthinou, and Nikita Zhivotovskiy

Reference 11

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.751321Z digest=sha256:c7459d4dbddcfef45cfd5e3c501b42e4449e9f4d84b81dde08fcbd355d4cd652

Observation 249af64d-2ad4-40f7-9ba6-20ad85d0abf9 · outbound

This paper cites Ten lectures on wavelets.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Ten lectures on wavelets

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:07:29.755390Z digest=sha256:51d93fbc9114fcfe1e1cc6d1752e67beeb401d43c10e9099dad2773df53d6d48

Observation 1e82fa8e-16fe-4caa-ae97-267d62de3eb0 · outbound

This paper cites Constructive Approximation.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Constructive Approximation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.760058Z digest=sha256:7e58f845f1a665e4fefe5e44b40399f47aac75b115e39363f820b11953bc6c97

Observation 602a2e66-8030-40d9-9bfd-c2d0f4f90bbb · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Calibrating noise to sensitivity in private data analysis

Reference 14

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raw_fallback, observed 2026-08-11T01:07:30.238898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 62d19d96-feb4-49d3-9451-4bf5d15a1b12 · outbound

This paper cites The algorithmic foundations of differential privacy.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints The algorithmic foundations of differential privacy

Reference 15

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no resolver link, observed 2026-08-11T01:07:29.768283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:07:29.768283Z digest=sha256:00a3ec5a08c124c2ce71d85a10881bfc835d35c0fb997f9a6ccd57605bd1c010

Observation 3b1f3f37-744a-4a7d-9e1d-36df22e93910 · outbound

This paper cites Springer Science & Business Media, Berlin, Heidelberg, 2006.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Springer Science & Business Media, Berlin, Heidelberg, 2006

Reference 16

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raw_fallback, observed 2026-08-11T01:07:30.215469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.772499Z digest=sha256:c65540fbdd4ea78265d3a6e98862f05dfc36a298880e05e25bcdd07daea81c37

Observation be914649-a241-4728-b497-5caaf12f1348 · outbound

This paper cites Applications of the van trees inequality: a bayesian cram´ er-rao bound.Bernoulli, pages 59–79, 1995.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Applications of the van trees inequality: a bayesian cram´ er-rao bound.Bernoulli, pages 59–79, 1995

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7da6c9ea-ba3f-4f11-b1c0-3f1044fd41b4 · outbound

This paper cites Differential privacy for functions and functional data.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Differential privacy for functions and functional data

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.780356Z digest=sha256:bdb3fbb9db4a82654c77bc1c8739ee3b936499135083cbfe0080461b7d396a10

Observation 82250166-96d9-48e0-a5f7-f96f924743c4 · outbound

This paper cites Wavelets, approximation, and statistical applications, volume 129.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Wavelets, approximation, and statistical applications, volume 129

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d19d8d0d-a594-43ab-87af-11e3137fbc4b · outbound

This paper cites Sampling depth trade-off in function estimation under a two-level design.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Sampling depth trade-off in function estimation under a two-level design

Reference 20

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d05cef73-9796-43fe-8afc-204ef55130e4 · outbound

This paper cites Function Estimation and Gaussian Sequence Models.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Function Estimation and Gaussian Sequence Models

Reference 21

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raw_fallback, observed 2026-08-11T01:07:30.163290Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.793216Z digest=sha256:144bac068388c5b4d8fc960a6beec3af517e5464c149524fff1dc5a82072b89f

Observation b6528fbb-81c6-462e-afaa-63dae0bd04d1 · outbound

This paper cites On the statistical complexity of estimation and testing under privacy constraints.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints On the statistical complexity of estimation and testing under privacy constraints

Reference 22

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raw_fallback, observed 2026-08-11T01:07:30.150321Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 56bc7e7a-f9cd-46c7-91d1-79adeda2b752 · outbound

This paper cites Learning with user-level privacy.Advances in Neural Information Processing Systems, 34:12466–12479, 2021.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Learning with user-level privacy.Advances in Neural Information Processing Systems, 34:12466–12479, 2021

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation de4d99d5-1bb7-4abc-a966-012281ca555a · outbound

This paper cites Learning discrete distributions: user vs item-level privacy.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Learning discrete distributions: user vs item-level privacy

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.805444Z digest=sha256:156e2d7811cbe90f8ec6c372de8fa9921c356b48562deda3e5b781e3a63396e4

Observation a3be369d-1c9b-48f2-a1f6-8005ef55c643 · outbound

This paper cites Formal privacy for func- tional data with gaussian perturbations.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Formal privacy for func- tional data with gaussian perturbations

Reference 25

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raw_fallback, observed 2026-08-11T01:07:30.109427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.809352Z digest=sha256:844dc568f0e72e2695fa8500f8d5cb0d22469a5d8350ee93ddc602b00bedda68

Observation 5e5bb02b-f14b-44f1-9b55-a201646fae9c · outbound

This paper cites Tight and robust private mean estimation with few users.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Tight and robust private mean estimation with few users

Reference 26

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raw_fallback, observed 2026-08-11T01:07:30.094090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dc0a2a95-5f6e-449e-b2ea-46d8b743450b · outbound

This paper cites Principal components analysis for functional data.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Principal components analysis for functional data

Reference 27

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raw_fallback, observed 2026-08-11T01:07:30.080015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.817337Z digest=sha256:e782e6c3e904752059a4a5ad53f9f41fb80a9db4b7fbb2e91e1cc9a6bd9659f0

Observation a9dd9692-201a-47d6-b431-488204c9e547 · outbound

This paper cites Estimating the mean and covariance structure nonparametrically when the data are curves.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Estimating the mean and covariance structure nonparametrically when the data are curves

Reference 28

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raw_fallback, observed 2026-08-11T01:07:30.065844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.821344Z digest=sha256:ee0254a50f0f614610ec2ad9ef8e031c6ffe307c759019c3a5f17c648686c902

Observation 82718901-34f6-4a8b-9420-280f25919341 · outbound

This paper cites Tsybakov.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Tsybakov

Reference 29

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.825518Z digest=sha256:47ce5d0051399fa52fa3d0f705f00a369533754cffac1b76270ac85a881341bc

Observation 0bb97f7c-f922-47a2-84e7-a7c33b822d92 · outbound

This paper cites Tsybakov.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Tsybakov

Reference 30

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raw_fallback, observed 2026-08-11T01:07:30.036418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b1f3196f-bc3b-4c74-b298-83664adea79c · outbound

This paper cites High-Dimensional Probability: An Introduction with Applications in Data Science.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 31

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raw_fallback, observed 2026-08-11T01:07:30.021434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.833781Z digest=sha256:ff7156adfa185167981e9f888cae0ec409da8ad5065ed49075ddb1482eddc7e2

Observation ebc8254d-4e64-4851-b800-690c9995bd36 · outbound

This paper cites Functional data analysis.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Functional data analysis

Reference 32

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raw_fallback, observed 2026-08-11T01:07:30.005613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.837860Z digest=sha256:d3f4336cd3eba1afd0a2eb5f9d5d65cd5ab3e901792c824b648ef2ec1d430d66

Observation b411bfde-a777-4531-842b-edb08512c2a7 · outbound

This paper cites Optimal estimation in private distributed functional data analysis.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Optimal estimation in private distributed functional data analysis

Reference 33

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raw_fallback, observed 2026-08-11T01:07:29.991798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.841641Z digest=sha256:9069a44000b9fdfada600ef4cff7ae51cf32b925bdce5c53a5ddd493a2f26a24

Observation 9c805d81-92eb-466a-9140-94ea052110da · outbound

This paper cites ∇fL log dPT f dµ′ !#.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints ∇fL log dPT f dµ′ !#

Reference 34

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raw_fallback, observed 2026-08-11T01:07:29.976711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.845519Z digest=sha256:ef413fd5979ed9677c388fdc8f76d18e2880952c81c90c32c03780da464a0527

Observation 9289a4dd-080d-4e25-a331-0171e3ff0b16 · outbound

This paper cites Lemma 14.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Lemma 14

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T01:07:29.961842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.850718Z digest=sha256:6f6f8f9fadf358cbe5d4fdd3fe95b95f877082899dcdf020762bf8e8a399ec9b

Observation 1a68a3e4-d34c-4ad0-80d1-78c61832a4bf · outbound

This paper cites exp t SY (s) 1 f 2 2 ! exp 1 2 t2 c2 ϕ ms (ns − 1) 2L SY (s) 1 f 2 2 !# = 2 Ef.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints exp t SY (s) 1 f 2 2 ! exp 1 2 t2 c2 ϕ ms (ns − 1) 2L SY (s) 1 f 2 2 !# = 2 Ef

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T01:07:29.947462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T01:07:29.855150Z digest=sha256:fa6d2b472a5df08d4046d805408e02f02a43144ef46d102d06b6fadcb5e68dc8

Pith citing papers

No inbound Pith citation observations are available.