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Paper Citation Record · LEDGER

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.08649.

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

pith.paper-citation-record.v1
1908.08649 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:37:13.780831Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy30
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7b1d1cb-1fab-48f0-b10b-0e7387f4ed41 · outbound

This paper cites Distributed inference with Byzantine data: State-of-the-art review on data falsification attacks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed inference with Byzantine data: State-of-the-art review on data falsification attacks,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.620888Z digest=sha256:dadcc81c99aca215d6acb69e56947a28cf61aca56aee69ac5d74640a2e472f99

Observation e0e5c590-70f6-45dd-a555-7f05ae0f62a6 · outbound

This paper cites The Internet of Things: Secure distributed inference,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model The Internet of Things: Secure distributed inference,

Reference 2

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raw_fallback, observed 2026-08-14T11:37:14.287366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.626523Z digest=sha256:217dc097b03099a5acbb6f4c41e9774d2ee200a94d3ee12651f0bca41f1ded66

Observation 8853d3fc-1218-42d1-b3a5-321c2319de64 · outbound

This paper cites Approaches to secure inference in the Internet of Things: Performance bounds, algorithms, and effective attacks on IoT sensor networks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Approaches to secure inference in the Internet of Things: Performance bounds, algorithms, and effective attacks on IoT sensor networks,

Reference 3

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raw_fallback, observed 2026-08-14T11:37:14.275920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.630954Z digest=sha256:4cf2a9ce973f965ce42bd644bdd38aae25ffac8a378b88032abedd325512bc33

Observation adb68daa-b141-49e9-b3fc-0a6e23c04ce5 · outbound

This paper cites Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks

Reference 4

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verified exact
local_arxiv, observed 2026-08-14T11:37:13.942318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.635159Z digest=sha256:7c7e5ef22eab9cb4f0b6472af44c6d806f67af170a84c733911e047d464c0e5d

Observation abde0f87-b5ea-4be3-8232-3e9d4b37e77f · outbound

This paper cites The Byzantine generals problem,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model The Byzantine generals problem,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.263820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.642442Z digest=sha256:4b6da095d4dbbf2454010f43d57fb3d14aa6b07180b78faff59377c987ba3c9b

Observation eb157878-639d-411f-8de6-e443d2191a7c · outbound

This paper cites Distributed inference with M-ary quantized data in the presence of Byzantine attacks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed inference with M-ary quantized data in the presence of Byzantine attacks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.251443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.647184Z digest=sha256:b8ba7a85bd1ddbf37587eac80ce2fc03b1e3a5d8613315a7f5c04a0ff347f931

Observation 746e4113-0ebb-4aee-9ee3-f22654cc0c76 · outbound

This paper cites Distributed Bayesian detection in the presence of Byzantine data,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed Bayesian detection in the presence of Byzantine data,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.239908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.651521Z digest=sha256:8724c259e4fcc7c14d1fcfd8adc5059990db6f910550ed351043ab1cd0542aa6

Observation b28094b1-31d1-4667-8f7e-8d1821e18ebd · outbound

This paper cites Audit bit based distributed Bayesian detection in the presence of Byzantines,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Audit bit based distributed Bayesian detection in the presence of Byzantines,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.227824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.655111Z digest=sha256:68d8f3eda731deafd69bb817c30ad7bcc181668e9c57bfe98527db416ac7651f

Observation da1bba20-d8c7-4745-b87c-fe06e4e9ece5 · outbound

This paper cites Distributed detection in tree networks: Byzantines and mitigation techniques,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed detection in tree networks: Byzantines and mitigation techniques,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.213250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.658794Z digest=sha256:26e8550447a1de8220b34f7f59ca9bc64e82654e622094c70b556ffdde95bc76

Observation 84e46f91-87d2-4c1c-8aeb-db8656aab1b6 · outbound

This paper cites Compressed sensing for networked data,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Compressed sensing for networked data,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.200808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.662375Z digest=sha256:a890cd2f044b21b9b551356898c958036497594e792c7c6f0f8ee179618687ce

Observation bf5034fe-623e-404d-ae25-fae0bba0e1e1 · outbound

This paper cites Localization in wireless sensor networks: Byzantines and mitigation techniques,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Localization in wireless sensor networks: Byzantines and mitigation techniques,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.188444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.666768Z digest=sha256:a79ce87d53ad571d94034e1c9499312c5b5db00669b7e4bbe77c1347f3736e2a

Observation 692e6362-6286-488e-b648-876672d1f055 · outbound

This paper cites Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T11:37:13.670632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.670632Z digest=sha256:4f778d8353d23877fc104ad000349868d86dc4248927fbd7ae15ec02d2e606da

Observation f344c2c6-e7cf-4859-acf5-a7e900dbc015 · outbound

This paper cites Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

Reference 13

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unresolved
no resolver link, observed 2026-08-14T11:37:13.675396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.675396Z digest=sha256:7aa6fadcfefb3b080f20417fde59586e23737ca454c7033a6e35e34ef9c37ce1

Observation 408dd420-c8c6-455c-bc30-f1637159c567 · outbound

This paper cites A little is enough: Circumventing defenses for distributed learning,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model A little is enough: Circumventing defenses for distributed learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.176873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.679433Z digest=sha256:2dd24ad198c1e4542bf9c367dcd02651f20b143c8b246ddf65cbc13122df6859

Observation 551e8e43-9082-44d6-ac20-85096fe1c9eb · outbound

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

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 15

Resolution
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raw_fallback, observed 2026-08-14T11:37:14.166030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.682703Z digest=sha256:a757932f2f63eb4167725600d72195aa3a4ee3fff744764cff2c7222b441df7a

Observation eeaed2b0-f842-4126-973e-e5e2bf2fb6fa · outbound

This paper cites Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.153348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.686880Z digest=sha256:447326618e4ed4f8ef7cc57e7c9b67e97f098eef68f8c2f4e48c03ac7cb95fb5

Observation b5da4a3f-5219-43eb-9301-97cc9d4ca7ff · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.140961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.690749Z digest=sha256:295a85f7ec421993f52d44fdc2cec504045a3aaee59c5e19711c4a9c9673969a

Observation 8cf6366c-60be-4f24-870d-91c70a2bb4dc · outbound

This paper cites The hidden vulnerability of distributed learning in Byzantium,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model The hidden vulnerability of distributed learning in Byzantium,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.129821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.694803Z digest=sha256:8bb9d9cc7972e449d5028bdccacdd09d63fe7d5762274fe43777b8f2eabec0da

Observation fc66d2a8-e124-4359-a8c4-ccbd1adff089 · outbound

This paper cites Fast and Robust Distributed Learning in High Dimension.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Fast and Robust Distributed Learning in High Dimension

Reference 19

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verified exact
local_arxiv, observed 2026-08-14T11:37:13.902079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.698854Z digest=sha256:00c024356c87bf4631c13eb27ad95ea353d65dca4904100a44eae479227c44e7

Observation b49beb3c-4cb4-4d3c-a264-c63339ee0a76 · outbound

This paper cites Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.702602Z digest=sha256:3b3728471880fb4c3fd4ba15bd759dd18fc1842b43b8d17c0a964755e8a6657b

Reference 21

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local_arxiv, observed 2026-08-14T11:37:13.868372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.707094Z digest=sha256:a8593a8731e57102504d997a1106090e669f4467d7d2c2baa110e0279e335a7e

Reference 22

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unresolved
no resolver link, observed 2026-08-14T11:37:13.710906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.710906Z digest=sha256:c0c0fef71340f7ef19c121d7cf9b4efec67f6cb8c8c6e96c94941b5548166e1a

Observation 1b9d23f5-760a-4b7b-926f-cdaa0222ebe7 · outbound

This paper cites RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.118758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.714823Z digest=sha256:00165117b8da90202218df89f7b031c96e273262c2097f48726bef3f7d862608

Observation 65c17432-f4a4-459a-b00b-9a1cca05c7b8 · outbound

This paper cites signSGD with Majority Vote is Communication Efficient And Fault Tolerant.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model signSGD with Majority Vote is Communication Efficient And Fault Tolerant

Reference 24

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unresolved
no resolver link, observed 2026-08-14T11:37:13.718689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.718689Z digest=sha256:903eeedb6cd8ea78e41975abf8cf73f78a1c30bff5f8b5d80f487d188cfd1f66

Observation 653955b4-b374-4628-b3c8-5c9e61380249 · outbound

This paper cites Byzantine stochastic gradient descent,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Byzantine stochastic gradient descent,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.107985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.722520Z digest=sha256:2965781b3d06a9565f3420d388610e1bbfed0061871806c3730937310c52a52f

Observation 00f06e40-d9a0-4f0b-a9cb-10a7caff1d4f · outbound

This paper cites Resilient asymptotic consensus in robust networks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Resilient asymptotic consensus in robust networks,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.097533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.726070Z digest=sha256:80100a2bcd90ad76a29ca5bd13e13ff4b7bab8856b33c6f06489c2473fb1d56a

Observation 10a8a927-8c94-421a-9d99-64905162644b · outbound

This paper cites Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs

Reference 27

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unresolved
no resolver link, observed 2026-08-14T11:37:13.729970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.729970Z digest=sha256:b06eb4f1f8a813d5743b5e7c03413c058b5adb17b9f700232ba6a458c2272a1c

Observation 636bb234-b7f7-429f-a22f-a1ecef1c7c3e · outbound

This paper cites Approximate Byzantine consensus in faulty asynchronous networks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Approximate Byzantine consensus in faulty asynchronous networks,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.086306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.734943Z digest=sha256:308e819db299f553e716ab847bf66ba369e4e696f01fc1e5cbe1a46c32d51cb0

Observation 7cab1076-d80d-422b-a5e3-1d6175a0cb18 · outbound

This paper cites Stochastic and deterministic fault detection for randomized gossip algorithms,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Stochastic and deterministic fault detection for randomized gossip algorithms,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.074310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.738829Z digest=sha256:8a19b5ba4664e015f193f922c06692e22c29a321f04633065054ba4704881d8f

Observation fc87e9f0-a9b5-4382-896c-462e1f9fcb4e · outbound

This paper cites An adaptive deviation-tolerant secure scheme for distributed cooperative spectrum sensing,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model An adaptive deviation-tolerant secure scheme for distributed cooperative spectrum sensing,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.060953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.743344Z digest=sha256:cd42791b169b4960673eb79f9a1f1d3f1623b3733466a8a60c30e8c0a96d28c2

Observation 615af1a1-41c9-41b4-b8f7-e24015566176 · outbound

This paper cites Byzantine-resilient locally optimum detection using collaborative autonomous networks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Byzantine-resilient locally optimum detection using collaborative autonomous networks,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.048440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.747347Z digest=sha256:959338e1db8f60cea40c4143003790c0fb04733e425293d6ddb25e47cc9632de

Observation 1260788f-f07a-41ed-b92c-773a8789e81b · outbound

This paper cites Data falsification attacks on consensus-based detection systems,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Data falsification attacks on consensus-based detection systems,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.037320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.751043Z digest=sha256:2a9f7596b17e4849197f38ba7d69f1876c17d54d4735e76f757ad45a3da6234b

Observation 05735766-8a29-4bec-901b-129aac0321d4 · outbound

This paper cites Resilient distributed parameter estimation in heterogeneous time-varying networks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Resilient distributed parameter estimation in heterogeneous time-varying networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.026023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.754303Z digest=sha256:11e96931f91b1652dd4a958b88e7ba9677c964d0727d5e19ab352b523f09aa9a

Observation 290d8f36-d4f5-4050-ab2c-da512b1eae44 · outbound

This paper cites Resilient distributed estimation: Sensor attacks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Resilient distributed estimation: Sensor attacks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.014264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.757824Z digest=sha256:a35cc1820ff6ac40a32880e0cc3ae35c158e6597371d6fbced2e8b119e52ee05

Observation 23f3f07b-f63b-490d-be28-14d9568f537d · outbound

This paper cites Resilient distributed estimation: Exponential convergence under sensor attacks,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Resilient distributed estimation: Exponential convergence under sensor attacks,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:14.002446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.761472Z digest=sha256:6d8d40fe344e55f7ffac9075b2ce10fbe9633d3d06e754b6a021cedc264fd228

Observation edea064e-9ef5-45b1-8a48-1edf9cab2e83 · outbound

This paper cites Resilient distributed estimation through adversary detection,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Resilient distributed estimation through adversary detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:13.990737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.764942Z digest=sha256:1402d3432d91528bf57841dce45f699a05f7bb9d8ab6e0d4eb1c3f58afd674f5

Observation 54a03559-4346-4a91-9f2c-b16b274d69a3 · outbound

This paper cites Distributed subgradient methods for multi-agent optimization,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed subgradient methods for multi-agent optimization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:13.979111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.768904Z digest=sha256:c42d5b977d244f9b503d57d9dbbf415e4e2879bbcb30273b4dce69a05b573866

Observation 63258b4e-b872-4e71-a53e-1cb7b4b33c35 · outbound

This paper cites Distributed optimization under adversarial nodes,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model Distributed optimization under adversarial nodes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:13.965925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.772843Z digest=sha256:cdbd0fec1a28c081527b7e059ad4b8e4006230ef6699e8a84b25b1067ad6f93a

Observation 535d37b7-8d32-4ceb-a577-5903890ffad5 · outbound

This paper cites ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning,.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:37:13.954594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:37:13.776571Z digest=sha256:2933137edfbe64a60721b12c04681381945d02b49f0832a91dba781d78de196b

Observation 79d74b4d-d304-4ffe-ba79-aad40d71a466 · outbound

This paper cites BRIDGE: Byzantine-resilient Decentralized Gradient Descent.

Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model BRIDGE: Byzantine-resilient Decentralized Gradient Descent

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T11:37:13.780831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.780831Z digest=sha256:8ed5438a213539661d57931d10f1745732e92573fdd5b42c4b8a515377740f5e

Pith citing papers

No inbound Pith citation observations are available.