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Paper Citation Record · LEDGER

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.09870.

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

pith.paper-citation-record.v1
2506.09870 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:43.843204Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

  • verified exact5
  • verified fuzzy29
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d25c0d56-0427-475f-a195-def51d2b1afb · outbound

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

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:40.491667Z digest=sha256:503ad4ba99bf64d886431b9cc3aa9b6eaba4b41856affa2655dedf5705dc465e

Observation 0c6065e9-b459-45d0-8dd9-39bec203a902 · outbound

This paper cites A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,

Reference 2

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source=pdf_text observed=2026-08-07T04:46:40.566214Z digest=sha256:528e00ea269435d8dfe85b344998c38f30f9f978e4fd657bf11f1630e61e8ce0

Observation dcf4d0b4-361e-4db0-a424-003a65669f1c · outbound

This paper cites Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,

Reference 3

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Observation 7583b768-bcba-4f2d-9fde-855ba83f304a · outbound

This paper cites Practical secure ag- gregation for privacy-preserving machine learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Practical secure ag- gregation for privacy-preserving machine learning,

Reference 4

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source=pdf_text observed=2026-08-07T04:46:40.683090Z digest=sha256:6fcd72edb378a6097b7515d579f2d245beae078abb96fb0d64179ff5960b26f5

Observation 44209759-eaeb-4c6b-8632-abf0d0878ede · outbound

This paper cites Secure single-server aggregation with (poly)logarithmic overhead,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Secure single-server aggregation with (poly)logarithmic overhead,

Reference 5

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source=pdf_text observed=2026-08-07T04:46:40.777111Z digest=sha256:a9827fe664d46b0eaf655fed99ce269363c2c33fd7ee9ebf39bdd13c9c362ab6

Observation baf97626-8d98-4b8a-82b0-fdc67e462e3d · outbound

This paper cites Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,

Reference 6

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source=pdf_text observed=2026-08-07T04:46:40.813716Z digest=sha256:d54b588dd9e9f38306fc25e4b5661dd87b6855a97623ef9f791ad204b89ba7c5

Observation af37e26b-e73d-416e-a397-9c5f46752738 · outbound

This paper cites FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Reference 7

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source=pdf_text observed=2026-08-07T04:46:40.859746Z digest=sha256:623e85cd10fcf793aa9d43b68e7ef5bad9a6097b17104ef4965f1a2c1d7cb13d

Observation 9d1f9aec-17ad-4b68-959f-bb2b219bc133 · outbound

This paper cites LightSecAgg: a lightweight and versatile design for secure aggregation in federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning LightSecAgg: a lightweight and versatile design for secure aggregation in federated learning,

Reference 8

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source=pdf_text observed=2026-08-07T04:46:40.938493Z digest=sha256:03a2b921d73cd4d8780bfbe980187968d412469480630eecb64dbe51dbc87713

Observation bcf99e7c-ea0f-4d64-85a1-38fd9576efca · outbound

This paper cites Swiftagg+: Achieving asymptotically optimal communication loads in secure ag- gregation for federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Swiftagg+: Achieving asymptotically optimal communication loads in secure ag- gregation for federated learning,

Reference 9

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source=pdf_text observed=2026-08-07T04:46:41.000873Z digest=sha256:ea3452cc2a4903ae97e82db2018d224e8a45b65fa7779eee3399873303489d29

Observation 7c56f348-718a-4d38-ab24-24cc8145dcf6 · outbound

This paper cites Codedpaddedfl and codedsecagg: Straggler mitigation and secure aggregation in feder- ated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Codedpaddedfl and codedsecagg: Straggler mitigation and secure aggregation in feder- ated learning,

Reference 10

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source=pdf_text observed=2026-08-07T04:46:41.064369Z digest=sha256:48c9af4a0653b9cfb507dd4d26a9ebc21aa64bea6b341d128cff1453e36fe890

Observation dbdb427f-daa4-4fdf-9a13-ea8ae8b1bacb · outbound

This paper cites Secure aggregation for clustered federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Secure aggregation for clustered federated learning,

Reference 11

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source=pdf_text observed=2026-08-07T04:46:41.147188Z digest=sha256:dc7a8e0161eda5d1034faa05651bb87d29a09201450e1388ddecd9554a69cc26

Observation 67501f10-2ade-46bc-9da0-82c490d8b46c · outbound

This paper cites Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Private Aggregation in Hierarchical Wireless Federated Learning with Partial and Full Collusion

Reference 12

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source=pdf_text observed=2026-08-07T04:46:41.195359Z digest=sha256:0b461aec0ff2b198a9e7d83c7e864e2275493926fc83e9d41f1cfa0d9763cb63

Observation 5541bde0-7334-4be5-9b31-bd86a66823b9 · outbound

This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Ma- chine learning with adversaries: Byzantine tolerant gradient descent,

Reference 13

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source=pdf_text observed=2026-08-07T04:46:41.268999Z digest=sha256:9294cb4477c12d32d976bdc12433ae3191529f39ddb1467678575ee75c5b3eac

Observation d76131e2-9625-47e0-964c-95fc2df73bd2 · outbound

This paper cites Byzantine- resilient non-convex stochastic gradient descent,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine- resilient non-convex stochastic gradient descent,

Reference 14

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source=pdf_text observed=2026-08-07T04:46:41.353266Z digest=sha256:59cb214385d8796986ae3054ee6caa2f277b82b6835466fd343db785ce81a807

Observation ee7d7d3b-2c04-4ccc-b956-386149a5e9ab · outbound

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

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Distributed statistical machine learning in adversarial settings: Byzantine gradient descent,

Reference 15

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source=pdf_text observed=2026-08-07T04:46:41.397904Z digest=sha256:5ab9ef344fab2eaa59909251ac8d95f2c7aa00f8b4b4612ac0a16bbdc5af2e43

Observation 78d0073a-ea4f-4813-804e-75ece9af45ab · outbound

This paper cites Collaborative learning in the jungle (decentral- ized, byzantine, heterogeneous, asynchronous and nonconvex learning),.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Collaborative learning in the jungle (decentral- ized, byzantine, heterogeneous, asynchronous and nonconvex learning),

Reference 16

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source=pdf_text observed=2026-08-07T04:46:41.458498Z digest=sha256:410b20ace99ddcc2b1b05010dda081530eb3958d7a9a161cb86ea9feae594e05

Observation feaef659-0bdb-4c9d-a0c8-dfb33ed3db10 · outbound

This paper cites Learning from history for byzantine robust optimization,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Learning from history for byzantine robust optimization,

Reference 17

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source=pdf_text observed=2026-08-07T04:46:41.553608Z digest=sha256:5139498bd4c85d137fb2b93a0521b1599ca0d04083b8da71bb039b688f3911f3

Observation 8827fed0-ff74-4c36-8697-56cab6e80cdf · outbound

This paper cites Byzantine-robust learning on heterogeneous datasets via buck- eting,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-robust learning on heterogeneous datasets via buck- eting,

Reference 18

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source=pdf_text observed=2026-08-07T04:46:41.601519Z digest=sha256:6c9a983dd8ec51d4461d8663ca580e956e013528252baa5f26a8a9387a57dd7d

Observation 9b6aa104-20e2-488a-a3fb-c1e00f4031e4 · outbound

This paper cites Byzantines can also learn from history: Fall of centered clipping in federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantines can also learn from history: Fall of centered clipping in federated learning,

Reference 19

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source=pdf_text observed=2026-08-07T04:46:41.653486Z digest=sha256:d89644668a3c7be8a3e89322a2a1e2ba1cd27e4051b0349f066d936b04056cc2

Observation 43bd1b3a-3f17-4670-905d-5eff52ab89e0 · outbound

This paper cites Byzantine-resilient secure fed- erated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-resilient secure fed- erated learning,

Reference 20

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source=pdf_text observed=2026-08-07T04:46:41.773593Z digest=sha256:f5145c6747bfab0608769dbceb99c31035cd91e7fcf6a708e42c2867f6742e3b

Observation a0ba70fe-1aa9-481e-a9a0-a9e4f1258ca4 · outbound

This paper cites How to share a secret,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning How to share a secret,

Reference 21

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source=pdf_text observed=2026-08-07T04:46:41.886127Z digest=sha256:70a73f5fe87080b111d45492cdf52911ce3e0800b7b3f791961fbb9b78f9c9e0

Observation cf6d92c3-85f0-4069-b927-8e89b91925de · outbound

This paper cites On sharing secrets and reed-solomon codes,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning On sharing secrets and reed-solomon codes,

Reference 22

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source=pdf_text observed=2026-08-07T04:46:42.017296Z digest=sha256:a13734366878199949dfda523c1d6d37d630ea43ec89fbd80258c22959f752fb

Observation fa5e4341-4335-4a7c-9a1e-65784b6499b9 · outbound

This paper cites ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment

Reference 23

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source=pdf_text observed=2026-08-07T04:46:42.129221Z digest=sha256:ed799a551bbec96c5ab2e041020dea32e8c01118456d1c0763f2924586b1266f

Observation 5708fa45-c1f2-4ee2-a19c-6869b0bc37bb · outbound

This paper cites PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning

Reference 24

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source=pdf_text observed=2026-08-07T04:46:42.253814Z digest=sha256:c0a6692fc6bdfe745969bff514d70af02a3261d057c18cfd050e82123aec6993

Observation 02f9baa3-551c-466d-96c6-a408f4808d8f · outbound

This paper cites Robust aggregation for federated learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Robust aggregation for federated learning,

Reference 25

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source=pdf_text observed=2026-08-07T04:46:42.351727Z digest=sha256:c77d741e2a1af9f7d0f586805dadd9463f4f774f7ab3e53a461da7d7863b847c

Observation 464eca29-a3ad-42b2-baa9-835499fc5d60 · outbound

This paper cites Defending against backdoors in federated learning with robust learning rate,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Defending against backdoors in federated learning with robust learning rate,

Reference 26

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source=pdf_text observed=2026-08-07T04:46:42.453829Z digest=sha256:22de91aeaaa27c49c7ccb4fdcf59416a069f651c9dacb3a6c945d9c2a47d2162

Observation 053c3051-b6e5-43bc-9aa5-92cdb29d4130 · outbound

This paper cites Byzantine-resilient secure aggregation for federated learning without privacy compromises,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-resilient secure aggregation for federated learning without privacy compromises,

Reference 27

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source=pdf_text observed=2026-08-07T04:46:42.590068Z digest=sha256:51e5246e13d25543fc2e3b1455fa01c552b63a144043293eeb95ef7d659ebff5

Observation 5b5d514f-c721-4336-9ce5-9cdea3b34748 · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 28

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source=pdf_text observed=2026-08-07T04:46:42.653133Z digest=sha256:06eb802dd47b64154af87c59875172e16c293814652cd4b4a40465cdada83996

Observation 6bed2336-27ad-4d89-a9d5-1ade192ab73c · outbound

This paper cites Completeness theorems for non-cryptographic fault-tolerant distributed computation,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Completeness theorems for non-cryptographic fault-tolerant distributed computation,

Reference 29

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source=pdf_text observed=2026-08-07T04:46:42.690709Z digest=sha256:5a331cce4a01c9e5b4882a517133e6ace978ea356af480b884c88cc9a1025180

Observation ed7b815e-894f-4064-a064-a94eef53ca6b · outbound

This paper cites LoByITFL: Low Communication Secure and Private Federated Learning.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning LoByITFL: Low Communication Secure and Private Federated Learning

Reference 30

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local_arxiv, observed 2026-08-07T04:46:44.178945Z

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source=pdf_text observed=2026-08-07T04:46:42.768620Z digest=sha256:787ec5998f975971c3d842ddd345b1abe169ca2887587898adb8de1780506a28

Observation c3346a3d-ea25-4271-8afe-4b3a8f1af1bc · outbound

This paper cites Learning from untrusted data,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Learning from untrusted data,

Reference 31

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source=pdf_text observed=2026-08-07T04:46:42.841818Z digest=sha256:a9ecb0db041f4d6e4ca151757710237598cf8ff9b445bed5f5e6b654287c6813

Observation dee2f0a9-9fa5-4759-ba2d-dac3dd78ddc0 · outbound

This paper cites Approximate byzantine fault- tolerance in distributed optimization,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Approximate byzantine fault- tolerance in distributed optimization,

Reference 32

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source=pdf_text observed=2026-08-07T04:46:42.916267Z digest=sha256:a168247ee35386122e74fd6a0da9f8a263d0869883bb5c97f29d1c72f114704f

Observation 3f8ba994-a361-437e-88ca-66821bcf3659 · outbound

This paper cites Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Fixing by mixing: A recipe for optimal byzantine ml under heterogeneity,

Reference 33

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source=pdf_text observed=2026-08-07T04:46:43.016489Z digest=sha256:68e58062378b3e4c871896ec027f16804b0253151334ad9d2564801a314a9bca

Observation 14365f15-e3c4-4ace-b1e1-c8cd7348922c · outbound

This paper cites Fine-tuning language models with just forward passes,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Fine-tuning language models with just forward passes,

Reference 34

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source=pdf_text observed=2026-08-07T04:46:43.046549Z digest=sha256:ecb2390d30d872a9dd44353e93f4c54d79a31da08a301b3f04be4d5eabc53e08

Observation ccf5af8b-03ba-4d3e-8e1e-395009f99fc8 · outbound

This paper cites Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization

Reference 35

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verified exact
local_arxiv, observed 2026-08-07T04:46:44.042242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.111132Z digest=sha256:a10ffa21bfb21ede496edc08c33cd52878e02e93eee5351c7242bde8d007208f

Observation 25deb499-83c5-4e8a-9b84-e49aeefc1086 · outbound

This paper cites Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:43.210852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:43.210852Z digest=sha256:b59f87a72eb97805cca92f84eecdeead13c76a68c1e2a25ca515b81b641d60b8

Observation a057c12c-a23f-4378-a6ed-3fd13bf830d5 · outbound

This paper cites Deep learning with limited numerical precision,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Deep learning with limited numerical precision,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:45.902038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.264080Z digest=sha256:1f766dfe50f63940f843c92346f6c5427da63734c91163feda4de8ae1c6eef6f

Observation 28f450aa-f5f2-402a-87ba-b86838866b88 · outbound

This paper cites Stochas- tic rounding: implementation, error analysis and applications,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Stochas- tic rounding: implementation, error analysis and applications,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:45.787896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.373051Z digest=sha256:5625c7339bbe94ed031735961a300162f574a725724b5f66923d32f5eaba6b55

Observation cbbdbd11-aac6-4f6e-b6d1-2a2373cfa4a5 · outbound

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

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:45.563398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.448499Z digest=sha256:3cdbbb9c03d450d3aad335d0c2f5321baa8cb01bf3283e450971a901c87d706f

Observation 959d0d09-2aa3-4a24-a7fe-f28c7aebf3ab · outbound

This paper cites Secure ag- gregation is not private against membership inference attacks,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Secure ag- gregation is not private against membership inference attacks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:45.317291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.526333Z digest=sha256:e233226c324a74a04e0d0df081e3c845c35fa40dfa98327f1b1923976bf4e22b

Observation 9113f72d-9372-4d4f-be0b-6e0ccc4ba900 · outbound

This paper cites Private information retrieval from coded storage systems with colluding, byzantine, and unresponsive servers,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Private information retrieval from coded storage systems with colluding, byzantine, and unresponsive servers,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:45.164649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.575649Z digest=sha256:3f7deb43b73fe19b1811c18c3416c998a8c421062616393054fcff7a3d9d2c5c

Observation 7c0cd36f-37d7-47c2-9487-5fe89090ce15 · outbound

This paper cites A little is enough: Circumvent- ing defenses for distributed learning,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning A little is enough: Circumvent- ing defenses for distributed learning,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:43.634831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:43.634831Z digest=sha256:24e7eed1f7ae8bbabcee8c927a23bfd67a00c00f2442f6f1d95a617c09007888

Observation c9293337-0968-408d-ba0d-7f254edea297 · outbound

This paper cites Fall of empires: Breaking byzantine- tolerant sgd by inner product manipulation,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Fall of empires: Breaking byzantine- tolerant sgd by inner product manipulation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:44.984590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.716872Z digest=sha256:be7f3a4cd416c381eb100c8d5b44a7c4dc5fc64ce344a193cbf81e8eaba5d65e

Observation d04004f5-2579-419a-a13c-60eca4ac2a6a · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:43.781272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:43.781272Z digest=sha256:a51a0fac5f2ebaeec958a4b56a8bf538b30410594b73fb191805d9832b4c5d49

Observation 910dbd37-3927-455f-88c1-9f272b7ed94c · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:44.852349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:43.843204Z digest=sha256:d256ef745099015ee1c6437f1e9e1d750ff4fd7878e4335bcc97ee834778d8a3

Pith citing papers

No inbound Pith citation observations are available.