Paper Citation Record · LEDGER

Locally Differentially Private Online Federated Learning With Correlated Noise

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.18752.

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

pith.paper-citation-record.v1
2411.18752 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:19.688466Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact1
verified fuzzy35
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a709c152-e0ed-4a3e-96e4-d913e454f354 · outbound

This paper cites Online federated learning,.

Locally Differentially Private Online Federated Learning With Correlated Noise Online federated learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.616474Z

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.

Observation 7667f62d-8161-4f1b-b8ea-4a15de76f13c · outbound

This paper cites Linear speedup of incremental aggregated gradient methods on streaming data,.

Locally Differentially Private Online Federated Learning With Correlated Noise Linear speedup of incremental aggregated gradient methods on streaming data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.599922Z

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.

Observation ff4a642f-1e92-41e1-914c-c959fd894ebc · outbound

This paper cites Differentially private distributed online convex optimization towards low regret and communication cost,.

Locally Differentially Private Online Federated Learning With Correlated Noise Differentially private distributed online convex optimization towards low regret and communication cost,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.583712Z

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.

Observation 628fff6c-68ac-4548-83cd-4b942b0f022b · outbound

This paper cites Advances and open problems in federated learning,.

Locally Differentially Private Online Federated Learning With Correlated Noise Advances and open problems in federated learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:19.494098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a72a5e2-5dc6-4d40-b9a0-1c481002c052 · outbound

This paper cites A communication-efficient adaptive algorithm for federated learning under cumulative regret,.

Locally Differentially Private Online Federated Learning With Correlated Noise A communication-efficient adaptive algorithm for federated learning under cumulative regret,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.556185Z

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.

Observation d8b616dc-768c-4969-bb66-1196ce9e2c50 · outbound

This paper cites Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems,.

Locally Differentially Private Online Federated Learning With Correlated Noise Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.539636Z

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.

Observation 01d031d3-1117-4e18-b1fd-464fae1ad604 · outbound

This paper cites Practical and private (deep) learning without sampling or shuffling,.

Locally Differentially Private Online Federated Learning With Correlated Noise Practical and private (deep) learning without sampling or shuffling,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.523022Z

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.

Observation 339b84cb-4c10-4eb2-a8b0-4d5609518c17 · outbound

This paper cites Improved differential privacy for SGD via optimal private linear oper- ators on adaptive streams,.

Locally Differentially Private Online Federated Learning With Correlated Noise Improved differential privacy for SGD via optimal private linear oper- ators on adaptive streams,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.507212Z

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.

Observation b9c64cfd-9ffd-4ac5-8f44-3faf7eb24ff7 · outbound

This paper cites Differential privacy: A survey of results,.

Locally Differentially Private Online Federated Learning With Correlated Noise Differential privacy: A survey of results,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.491392Z

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.

Observation 58ad116c-ef4f-4727-a804-a5bc7c16fc90 · outbound

This paper cites On the tradeoff between privacy preser- vation and Byzantine-robustness in decentralized learning,.

Locally Differentially Private Online Federated Learning With Correlated Noise On the tradeoff between privacy preser- vation and Byzantine-robustness in decentralized learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.475917Z

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.

Observation 2dbf9b41-33e3-4932-a575-13ea86591306 · outbound

This paper cites Differential private discrete noise- adding mechanism: Conditions, properties and optimization,.

Locally Differentially Private Online Federated Learning With Correlated Noise Differential private discrete noise- adding mechanism: Conditions, properties and optimization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.459162Z

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.

Observation fb22056b-e341-4074-8325-78398cc010d5 · outbound

This paper cites Private empirical risk mini- mization: Efficient algorithms and tight error bounds,.

Locally Differentially Private Online Federated Learning With Correlated Noise Private empirical risk mini- mization: Efficient algorithms and tight error bounds,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.441630Z

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.

Observation a9c8795e-7079-4425-bdff-31c0becc681a · outbound

This paper cites Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy.

Locally Differentially Private Online Federated Learning With Correlated Noise Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:06:19.778143Z

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.

Observation c025f487-a92d-4a8e-bf43-9ea520946885 · outbound

This paper cites Gradient descent with linearly correlated noise: Theory and applications to differential privacy,.

Locally Differentially Private Online Federated Learning With Correlated Noise Gradient descent with linearly correlated noise: Theory and applications to differential privacy,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.424396Z

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.

Observation c0f3977b-259a-48ec-b54b-7cbc8eb9d329 · outbound

This paper cites Almost tight error bounds on differentially private continual counting,.

Locally Differentially Private Online Federated Learning With Correlated Noise Almost tight error bounds on differentially private continual counting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.405736Z

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.

Observation 565d3ef7-fc59-45af-a2fc-d02db1b7059a · outbound

This paper cites Differential privacy under continual observation,.

Locally Differentially Private Online Federated Learning With Correlated Noise Differential privacy under continual observation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.384964Z

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.

Observation ed530e4b-86fc-431e-9dc9-9fab6571084f · outbound

This paper cites The price of differential privacy under continual observation,.

Locally Differentially Private Online Federated Learning With Correlated Noise The price of differential privacy under continual observation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.362012Z

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.

Observation b0bbd791-4175-4fe3-bdf6-1d4b10ea6b41 · outbound

This paper cites Federated learning with formal differ- ential privacy guarantees,.

Locally Differentially Private Online Federated Learning With Correlated Noise Federated learning with formal differ- ential privacy guarantees,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.330989Z

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.

Observation 0eeda2a8-bda1-4cc0-af50-1c4f2be65206 · outbound

This paper cites The ma- trix mechanism: optimizing linear counting queries under differential privacy,.

Locally Differentially Private Online Federated Learning With Correlated Noise The ma- trix mechanism: optimizing linear counting queries under differential privacy,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.311746Z

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.

Observation 149ca22d-1aec-4fb1-976a-cf22ed95286c · outbound

This paper cites Differentially private distributed online learning,.

Locally Differentially Private Online Federated Learning With Correlated Noise Differentially private distributed online learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.289169Z

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.

Observation 7655d97c-1a9d-4f71-9006-20581f6a8ee2 · outbound

This paper cites Privacy-preserving distributed online optimization over unbalanced digraphs via subgradient rescaling,.

Locally Differentially Private Online Federated Learning With Correlated Noise Privacy-preserving distributed online optimization over unbalanced digraphs via subgradient rescaling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.268178Z

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.

Observation ef049fd8-74c3-4e12-852d-d327f93a1a8d · outbound

This paper cites Distributed online private learning of convex nondecomposable objectives,.

Locally Differentially Private Online Federated Learning With Correlated Noise Distributed online private learning of convex nondecomposable objectives,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.245213Z

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.

Observation 30072cb7-376e-4dd5-a46a-547301538ee8 · outbound

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

Locally Differentially Private Online Federated Learning With Correlated Noise Communication-efficient learning of deep networks from decentralized data,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:19.593341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed35db74-85cc-4667-91ee-0ccf9ad434d9 · outbound

This paper cites Online non-convex learning: Following the perturbed leader is optimal,.

Locally Differentially Private Online Federated Learning With Correlated Noise Online non-convex learning: Following the perturbed leader is optimal,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.212036Z

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.

Observation 98126e43-d0a8-4d1a-9dad-6575503ae2ad · outbound

This paper cites Online learning with non-convex losses and non-stationary regret,.

Locally Differentially Private Online Federated Learning With Correlated Noise Online learning with non-convex losses and non-stationary regret,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.047202Z

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.

Observation b649f93a-05de-4b9a-ae48-318c39eea5d8 · outbound

This paper cites Improved dynamic regret for non-degenerate functions,.

Locally Differentially Private Online Federated Learning With Correlated Noise Improved dynamic regret for non-degenerate functions,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.029825Z

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.

Observation 745c81ef-c61f-4872-bb14-07df27f6bcdc · outbound

This paper cites Distributed online non-convex optimization with composite regret,.

Locally Differentially Private Online Federated Learning With Correlated Noise Distributed online non-convex optimization with composite regret,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:20.008942Z

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.

Observation c2609b78-56a6-486a-ae77-bf0849c4f886 · outbound

This paper cites Improving dynamic regret in distributed online mirror descent using primal and dual information,.

Locally Differentially Private Online Federated Learning With Correlated Noise Improving dynamic regret in distributed online mirror descent using primal and dual information,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.990740Z

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.

Observation 57c0d9fa-7fd2-4eb1-9fe6-6de62219a8a6 · outbound

This paper cites Personalized federated learning with differential privacy and convergence guarantee,.

Locally Differentially Private Online Federated Learning With Correlated Noise Personalized federated learning with differential privacy and convergence guarantee,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.972884Z

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.

Observation f207072f-0209-4326-8182-b540184b23d6 · outbound

This paper cites Wireless federated learning with local differential privacy,.

Locally Differentially Private Online Federated Learning With Correlated Noise Wireless federated learning with local differential privacy,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.953706Z

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.

Observation 4ae7c128-d3de-40f8-9f65-ae10a63075de · outbound

This paper cites A unified approach to error bounds for structured convex optimization problems,.

Locally Differentially Private Online Federated Learning With Correlated Noise A unified approach to error bounds for structured convex optimization problems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.933422Z

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.

Observation a739b0c4-ead8-417e-a06a-f401a67498a9 · outbound

This paper cites Calculus of the exponent of Kurdyka–Łojasiewicz inequality and its applications to linear convergence of first-order methods,.

Locally Differentially Private Online Federated Learning With Correlated Noise Calculus of the exponent of Kurdyka–Łojasiewicz inequality and its applications to linear convergence of first-order methods,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.914908Z

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.

Observation f24bae9d-918e-49a3-aed5-d2da9949c94b · outbound

This paper cites Linear convergence of first order methods for non-strongly convex optimization,.

Locally Differentially Private Online Federated Learning With Correlated Noise Linear convergence of first order methods for non-strongly convex optimization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.897261Z

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.

Observation c48d3307-aa15-4c9a-b13a-34498dce969e · outbound

This paper cites Gradient methods for convex minimization: better rates under weaker conditions.

Locally Differentially Private Online Federated Learning With Correlated Noise Gradient methods for convex minimization: better rates under weaker conditions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:19.651695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1908bd27-64f0-4f82-a713-23da17cbfdad · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the Polyak-Łojasiewicz condi- tion,.

Locally Differentially Private Online Federated Learning With Correlated Noise Linear convergence of gradient and proximal-gradient methods under the Polyak-Łojasiewicz condi- tion,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.879692Z

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.

Observation 0f49449a-813a-44a2-9800-eaa77a6da26d · outbound

This paper cites An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise.

Locally Differentially Private Online Federated Learning With Correlated Noise An Empirical Study of Large-Batch Stochastic Gradient Descent with Structured Covariance Noise

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:19.662289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf01acd7-7948-45d2-8166-a2b50e112665 · outbound

This paper cites (Nearly) optimal algorithms for private online learning in full-information and bandit settings,.

Locally Differentially Private Online Federated Learning With Correlated Noise (Nearly) optimal algorithms for private online learning in full-information and bandit settings,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.860746Z

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.

Observation 0d867631-932c-435f-84c6-3c01a18abde5 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Locally Differentially Private Online Federated Learning With Correlated Noise Federated optimization in heterogeneous networks,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:19.673326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c6371d-5f04-4ca0-8da9-e6cbdd5ebf8a · outbound

This paper cites Secure and decentralized federated learning framework with non-iid data based on blockchain,.

Locally Differentially Private Online Federated Learning With Correlated Noise Secure and decentralized federated learning framework with non-iid data based on blockchain,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.831342Z

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.

Observation df0a4d4a-2e8b-4f9b-b266-c4883022bd9b · outbound

This paper cites Concentrated differential privacy: Simplifi- cations, extensions, and lower bounds,.

Locally Differentially Private Online Federated Learning With Correlated Noise Concentrated differential privacy: Simplifi- cations, extensions, and lower bounds,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.812792Z

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.

Observation 44acf39e-1d44-44e7-8b93-8c2d9b0f5b2a · outbound

This paper cites Mutiplying (12) by α ∈ (0, (c − µWC)/L) and adding the resulting inequality to (11) yields 0 ≥ α(f r(x) − (f r)⋆) + ⟨∇f r(x), Px X ⋆r −x⟩ + c − µWC − αL 2 ∥Px X ⋆r −x∥2.

Locally Differentially Private Online Federated Learning With Correlated Noise Mutiplying (12) by α ∈ (0, (c − µWC)/L) and adding the resulting inequality to (11) yields 0 ≥ α(f r(x) − (f r)⋆) + ⟨∇f r(x), Px X ⋆r −x⟩ + c − µWC − αL 2 ∥Px X ⋆r −x∥2

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:19.796042Z

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.

Pith citing papers

No inbound Pith citation observations are available.