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Paper Citation Record · LEDGER

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning

As of 8 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 2026-08-08T06:32:00.761636+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

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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:f39407ddc3ff136d8c72bdf507a7e3e961e1095255294e6b05a1ca96297ebd45

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=sha256:903cdf7a2210905d2155b8d4bfffa4f1039c27700b2ad108fc0c629691186d42

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:f1e648e1b4e90a0099e2ce49b1f31810b4dec60c31e52b1f677bc18b847deb3b

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=sha256:81e6f58301035b77ad7b1a6693e30db7608886e4b7cd07dbb5e3317a04c212e7

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:cbdfc5f406128757f82da9ba139abe58b85cb58f359f4af7b307b1eeff2f5324

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=sha256:55e08baf30e83d268afdb037637d53e7984f4458f7fded77645db0e6a33b9647

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=sha256:51e95752df7a50ddd07cbc49766f0802749357cc82bbfecfdbd4bf3d697e1b53

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=sha256:63aec255567b9ec844f72780807658885eef47444695962dccc794d4530de667

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:de970c899649e848ffc8031e2e99cfb0fe2dc328af158af8ebcea553622eed7c

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=sha256:5c79ed4270895fd388ab23b23f752fb5e9c9dbb262abf8d02f2004e53ce42344

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=sha256:2f1924759a571c452b82ab22e7e6c54b7f96f6ea0aacfb489d6decf94e737579

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:c253c9623922c85a342168ba783394400540be8faf5ca417bc4ea58b3899eeb2

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=sha256:0e5ff42a4f73a50de46be72296721f7a01f31cbd2126e158f6c8ab204664b6e0

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:a4f6f3ae669c81376b53538fd3be73d3440da07885c387c0ce052eb1d0560784

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=sha256:3db9efc2884ca0e77cde9d4458a1ba6ab5e0fac196e7b78191ccf844574ec105

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=sha256:14501788865115e6f50d59c34ee42a05d5c45ef40fcf39ee72ce0fdd37cccbe5

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=sha256:60d8432f5baced0a62ec3034cfbdd2341e092c9f7eba1383ee1bade635fea30f

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=sha256:9dc178b47e9ec15074a0298b994b94837b42a7cdd5e27d7872529f8fef592ed4

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=sha256:948c7b0bb1732b8a4739830f92da6f8c2efb82e7c789d2162b45f8dd4958ff88

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=sha256:53ad977b445c3099b761e2daa59ea2f152f0ef12997d87df4be57c4ca60e882e

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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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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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=sha256:994f228091bcd80d8b99d3f579208268f1b060c6d1f73737eae8556d75c25049

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:be6c3c76b7ae0dccbbc3159d2bff84fd0ba4a2eb1cb8526f026bb699c4c77afc

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=sha256:71715b3996483f23148839ace8e345d7f204a4dbf9d6409b3a4387cefdbb72ff

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=sha256:89a51fa643afdd0bcf013c5532013f1b336fa661dd9a7a6e46bcb6f0359bf66f

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=sha256:9d7e4177e41db3ecb979fdb499524992c474b2e03256b86389697af6f22aef85

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=sha256:6f2c6e6f060dc065c5b510ad7c8b1732003c1177cadfdeacc80e0217931f610a

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=sha256:8e23eaa084c5fac32e8530812f42bc7c095bb89c40b4ae5317dd32cba9a0a4c5

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=sha256:5c6382f173b965203d0b1d4bda242cc48c12d5704604b24d9ec227b372ab4e72

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:e00d07e1ccc01389398b9aab70402c0ae58669c3804ec2f7f8feed19ceb8fc68

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=sha256:2125666cb0a98ffb14349c795f3d9a273281f63db153560de378981c9a48f3e7

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:e30dc5179ba3b1cfc1a2f1db7d67b53c8baa835452e92bb6f898bbb921837f49

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.111132Z digest=sha256:76d3ce0d2faa0c88fdf25f1680479737312aae8f84d7fa0ebf408c3f7623a0a8

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:bed6c60a6aa7231866e703bc8b3c2d1d9a38a2d4fce4936d9fdd5f602acd0d2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.264080Z digest=sha256:ae12dde20b31df32a26dff0a7a88125fc2599ab7d7a6979f416a84a3f57eef02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.373051Z digest=sha256:f99ac3a628fd495cc08f42bda975c8f9b2c72b379716177922cfdc1dc2c6c4d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.448499Z digest=sha256:d247485c2c7b0d807ce5f203ef33e94e5d73ef90de9593a20b612bf4c91cad88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.526333Z digest=sha256:43fe5896a1bdc92b812059b272f2943d2bf640d0eb6c357e998c42b4f8c508c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.575649Z digest=sha256:ec151b7810eac34f01bc8eb22db67ab70f2e1f88fb368132be1e24d062dda760

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=sha256:0b5c0e6be9de0b8136f6c5c46ab13bf4a05d47027309407e83a713a069e134d3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.716872Z digest=sha256:72d8756f32b572a4240b24917c54f467ce09e98799495005b91d49e7304c68a9

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=sha256:4ca00d35926fd52093165467514626483c27f2c24a404ef2949cd0e929e62b55

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:46:43.843204Z digest=sha256:8d7241578f17b1ee2c687d8b17c8549bc2b8fc8052304ef52041b4ae3312146b

Pith citing papers

No inbound Pith citation observations are available.