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Paper Citation Record · LEDGER

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning

As of 21 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 2026-08-21T06:32:19.484+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:bae950d3139f63ff22dd47af3b2274f69d75a7e19acd0081bef98b2a8be77c0c

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:40.566214Z digest=sha256:fd5fd40c9018dd8c452efc9c1c511fe4ad411f6a0c97246eda2d66c1969ac894

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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source=pdf_text observed=2026-08-07T04:46:40.637812Z digest=sha256:4b78674d0b3ce99a0ff6d215a734e21dd26bfa4ddcf3d1b82745c7c1b1624cc0

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=sha256:1d7c1b428def54da0c73087e484fedaf0b8374a50fc4b15968b99df618f7740c

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:f4f6ef2ae944aa3935ef774ddeffb4d127d9ab7e5e33d44a93edca3aa7b80153

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=sha256:293bfb69c2af9a04e224ce617770cd2b4f577202115ccd69cd8e9647869bd325

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=sha256:3aeb12c5fcf9367d87c2fc8835c9cb8a44d8066b698a197f85396c864407409a

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=sha256:83309cdec3bc5cb00036171f5b9b297716748319171907341cb7c72b86119c72

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:b29a15f5c09efac6b9626d58e4a6ffaa9c77bd2ce3572a3ed5ca4442d7279356

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=sha256:105c41c55e0e30fe38ec89ef248369dfc70131c3cf4457fe26173401ee8978f4

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:aa4a90a58590b7052fbf4c9e5f2a2dc4ee5b68228b334aa1c795319efca85efd

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:a6032495048e80af7ee093560ebab05e5d300d907d9ac809ced8a56e4c707794

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=sha256:82bd28add0b8b388c52126c4debf1a1d121f9dfa843fffd7891ad20fb54bba0c

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=sha256:07ee9c8860cea995ea71a9acb6b4e6c1c321a34d689bca8bf1bbd396c729f4c1

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:e32dcfd9bd72006a6d05dec95405246c495426dfd525d0da5c1a8bf6c9d35036

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=sha256:9f63d676fdc422d2d9dfd816a0ccde44c476815be8df6d1e267c6d847eb7e0d3

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=sha256:7a06cfab01cf6204c9679e5c02e1d9b2fd05503620dd611381b853ade662c396

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:af2a7bd38cf4f9b26537629da8b9955302de8469737bddaeccce6d2055c43cc4

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=sha256:914fef985d47123711c615d8689d0c63821747ea3395356a66f6e7accc3f08c3

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=sha256:568225cf5a1f6f7c52af514e0cde0f5709935ce3bc2be2173d657bb5bbf37b7c

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=sha256:99a9831caa7a5e7a46974e044d80efa4d9319d8e2478c29dd649141b8a959963

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=sha256:485b1653a297b3f149291291645f682e1df82895b7a17b1bb89ee1a2e24228dd

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:aaad5fd235769b844c0b02820dd621269b66ce7957a7b696e13ff8a9a5615ca3

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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local_arxiv, observed 2026-08-07T04:46:44.331203Z

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source=pdf_text observed=2026-08-07T04:46:42.253814Z digest=sha256:4dc172586b9586c99e78e8355220f460d31d3535efe6c22717954e2d174008dc

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:42.351727Z digest=sha256:421b43cd3e085abbc559f23ea563a60569422db515abb46757bb87a163630d19

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=sha256:0b53df4df25ac01a0954b80014a7391ac6b7e2acf12bc10cebbd66ba4b094436

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:d38a8b13da61863ec41188fdb957b19fa0b9d6ba925428f1bd043b790004d0c1

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=sha256:4e83ecd9cbea23e49f00db8cd93e73f57c5ea9ff8aeac384647c13a2843c4b35

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=sha256:5de84a567b71242a970b9862de233fb2c0c42a33a168654fc8ea0d591829e93d

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:d85c4efacd06f2d99de65181dc0a5af06f4bad065c31618f1d781a592dabcd31

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=sha256:60d57c7689f72730037fe3bfbdd8ec54d28b7b0dceac2771d41d6035f029d442

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:efde9d45cbf97d62dbfa6097f72adee2aeacbae1bd0f7e3a94f2526524698025

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:fc141d96ab9c2f3ad102f5ceccd0bfad301ca9edaa890ff834dd48cd018f6798

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=sha256:27aa7158c152987f0c7038f5557ebda8dcb26019c2b1c5003fa7e0a94e3956f5

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.111132Z digest=sha256:a515c8d5f6f023075a84815458ed5dc31db7fa7d8053162e68a79560bed21128

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=sha256:01e7e2d9d2894e625a2a56905ba9ecfc32719ef4f6227228eca20da9f76edadb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.264080Z digest=sha256:f78610539c7804a4f9131bfd10eb2473d3dbc34573c90f244ec199614ae7c067

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.373051Z digest=sha256:9db8f1efdc69bb6655b630c88e348d885f4741e35cc6f04f43f8648350fd5d70

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.448499Z digest=sha256:654883435a079606e625e5458115ccb97f14c197da36c5f11ab21eed9dd49191

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.526333Z digest=sha256:7de7762a6c32ef924902c32f87b9ba466011560255a5eb760ed1430eedca8d5f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.575649Z digest=sha256:9112cc2b5a24a6c66eb1fc7e7d6057a2983b248829662e6db2e7633bf89bb848

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=sha256:4d9fdd09e2d5753821164e08c58a0a661e0f7b586835747317df59fe56cc865e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.716872Z digest=sha256:577944264bdadd615067be148f27862ab13dc7ff7ae76b5dd683a98bb2bd24b0

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:b580d537d607bc5995dc68445aba5a1174522419d0f51f08ef2c3d4e1a5c3a6d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:46:43.843204Z digest=sha256:2f2bacc5ed409d7a2f57f9d552836346f086d2449a9b8cbdc9382b073750f031

Pith citing papers

No inbound Pith citation observations are available.