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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 20 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 2026-08-20T06:33:59.587034+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

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.620888Z digest=sha256:13798fa04f27a0fcf8e6730a82d0d024acb21d6b53abcaf28266cbe8a0ec75cf

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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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.

source=pdf_text observed=2026-08-14T11:37:13.626523Z digest=sha256:2a5f94f4ca6b180837ba63598cd50f17844254c25e007352a0e7d685509428fd

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

source=pdf_text observed=2026-08-14T11:37:13.630954Z digest=sha256:575a4244acf968696cb7b244514d3e712a48a4c0bcbdc8245de9fed81cd7891f

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.635159Z digest=sha256:259661b2dd4c373bac57731fe4c9de008713d2e27ce8ae16dd223dc849041c4b

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.642442Z digest=sha256:7b41b155cb34dc4b30a0ad0c85c22ce9493fdd907a2b1410779aedbfd5bc99f7

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.647184Z digest=sha256:f059c4b271e5afc06707f72ee4bd28558b5a2f3b8c5761b2ad607a1769c4e8e1

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.651521Z digest=sha256:7e0212f6705eae7daa6f697e2d23f9cca3f4b1e29525cbdab36d30e248c79a5c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.655111Z digest=sha256:c0d8cdc95af93dc60c9e500a6fd8cebc16be04b4d37b2c407138c208e3330afe

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.658794Z digest=sha256:ea703c7c70ecabb445d8f46105814bd4b5cdfeea83323bc946511e472e8d4921

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.662375Z digest=sha256:bdd7a24ecdb9850aaef23014d975acaa19b481e699aaa04c2abd79413f4f6a28

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.666768Z digest=sha256:ac31263c37fd4948c91a6ad5c9cca75541e996788731622442dc2ff85b770fc3

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

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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:b98be2b5a662b4b8efa97cb425e6e12887e563baead1cdd249c547c427e51c71

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=sha256:5da0243567537d992cfdd2346a14757045d37ffec3e117bddcdfd09b9e4f3978

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.679433Z digest=sha256:63fc72309c3c017844931cb9a91749dfb80d3ac9eaf5fa82e225adf40f87396b

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.682703Z digest=sha256:4a917af478d783b29590144762e7aa63b96c2feaeb3f20b8cb5f3b395a8cf305

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.686880Z digest=sha256:65f3664611fbde995ee491dad569e992ead8ee90805c95ca36093b53043d8391

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.690749Z digest=sha256:cd12c4f56e694147811b9bf52640f03a118b2ca1ca1503bf5002dd27cdef9eec

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.694803Z digest=sha256:59f960810a282cca6c5a7a99bdf96a89f0995909848e12817d6ebae4e2a4e3a0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.698854Z digest=sha256:24b73431e1c297ffbfbaae17b57a242bdc71b0e53408bc6c32d22abace46f865

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:13.702602Z digest=sha256:26c9dd458dfeced13a2b8022b150b0631c41816ef099bba8dd75d3aa0dd00a9d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.707094Z digest=sha256:eb110d27767baa061a4f3384546c45996a841365fb0ccb2fa04b8f1847580fb0

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:a40bbf178dc9dd8955231e55b9835d8367006137fa0c1605728b44361e1be3c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.714823Z digest=sha256:a6b5af78c5a40e82d87c1f9e6af2320b895b3831b6bb4f96cd7a1e247480dd15

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:a470ebdce36683c18a25be4f99d007676ca15c42d81271535ef15b43a9a2278d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.722520Z digest=sha256:a0ef9a118c4d79897f2eae8bad8749d7b806284bca0e28a85672e2be1ad9bbc3

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.726070Z digest=sha256:45d28494d0b34d678b21d9674803540d990bc9b5b2fd31939c320d22d2225826

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=sha256:3c4189fffe33cd923f714f114e82b438d3a5f894f22d92b7ff067d54cfa55d4d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.734943Z digest=sha256:8112169207247162751c9215f4412cab7d9636f2d1b4bdfb3ca368fe63bd41f8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.738829Z digest=sha256:0d0481344cbbf01dca47cb7a9fae10688d838bb0a46c240e134a43a8cf273f87

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.743344Z digest=sha256:4e3f5dd49ddb6c8bb4385f4ba45a74bc835f247ba36d76471ba8cc3fda02dc9c

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.747347Z digest=sha256:96146e53e419696b1e9e20f628841fcc3d492359fc3a717f277ee9280da92abc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.751043Z digest=sha256:a1edd5b6578d1030b9425c282c4ab2af04b1bf2d56739aca3e55dcf20b27b429

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.754303Z digest=sha256:ed5a4d799e8e0348c56b6b7cb179b9f37c3dc9448ca53fc6c5bacb8aef77cd64

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.757824Z digest=sha256:f33da956f2a83ae00b5ff2563d1d7f50c61b06c0450f580a951604db25e2f264

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.761472Z digest=sha256:55782f948d7d09947198956cc26453a145d5f4f833403a7e0875c18c1dfe1bea

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.764942Z digest=sha256:871bcc3272be9b28ddb09d48187a06ade4dfa414a242aa99e0bacd2ad7a92488

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.768904Z digest=sha256:b410c39d4f675ba035bf288146ab1c6b3f0e0dc422740db19c682d46bd95485f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.772843Z digest=sha256:3b4e98415b213082156aff03bb756f497b3a98d778831a054d78e1012caecfca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T11:37:13.776571Z digest=sha256:5d69e942ae329cf1e2e9dc548014e11013588235be3b8deae3aa557c2183bae0

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:bb24b1f57df9495d8acd658cb3ba936f6dbf6d98fd78ed55dbe7512ddca9aa75

Pith citing papers

No inbound Pith citation observations are available.