Sketched Gaussian Mechanism for Private Federated Learning | Paper Citation Record

Observation 6cb1e314-afb0-4e06-bacc-a911159910ba · outbound

This paper cites Understanding clipping for federated learning: Convergence and client-level differential privacy.

Sketched Gaussian Mechanism for Private Federated Learning Understanding clipping for federated learning: Convergence and client-level differential privacy

Reference 1

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Observation 73d87887-0c7b-4472-a682-d33ae1938d53 · outbound

This paper cites Private and Communication-Efficient Federated Learning based on Differentially Private Sketches.

Sketched Gaussian Mechanism for Private Federated Learning Private and Communication-Efficient Federated Learning based on Differentially Private Sketches

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:12:53.172035Z

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Observation 885a2945-dcb4-48eb-8a24-eff05f27c8ca · outbound

This paper cites Sketching for first order method: efficient al- gorithm for low-bandwidth channel and vulnerability.

Sketched Gaussian Mechanism for Private Federated Learning Sketching for first order method: efficient al- gorithm for low-bandwidth channel and vulnerability

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:49.686737Z

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Observation 860bba57-edff-40e2-baf2-c3d871868209 · outbound

This paper cites Sketching for distributed deep learning: A sharper analysis.

Sketched Gaussian Mechanism for Private Federated Learning Sketching for distributed deep learning: A sharper analysis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:49.788254Z

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Observation 98fde843-1b17-4212-b507-ac7cac37dedd · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

Sketched Gaussian Mechanism for Private Federated Learning Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:49.884003Z

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Observation 4c5a28f9-2fef-42f7-bc59-5131d27c9d69 · outbound

This paper cites an unresolved cited work.

Sketched Gaussian Mechanism for Private Federated Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.017356Z

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Observation 1a7d5fed-3fdc-4a04-9347-c259b21c224f · outbound

This paper cites Wainwright, Peter L.

Sketched Gaussian Mechanism for Private Federated Learning Wainwright, Peter L

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.622913Z

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Observation 34a36743-c8d2-45b2-9676-8fc384aecb66 · outbound

This paper cites Finding frequent items in data streams.

Sketched Gaussian Mechanism for Private Federated Learning Finding frequent items in data streams

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.612741Z

Source-reported events for the cited work

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Observation 677aea1a-df00-47a1-bff9-c496fbf33d2e · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Sketched Gaussian Mechanism for Private Federated Learning Calibrating noise to sensitivity in private data analysis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.244750Z

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Observation f19e4b4a-e1d5-4eb8-831b-99b00cd7a8b7 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Sketched Gaussian Mechanism for Private Federated Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.309059Z

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Observation 9acf48bf-5f6d-475d-b233-b8f689f0e041 · outbound

This paper cites D2P-Fed: Differentially Private Federated Learning With Efficient Communication.

Sketched Gaussian Mechanism for Private Federated Learning D2P-Fed: Differentially Private Federated Learning With Efficient Communication

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.411303Z

Source-reported events for the cited work

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Observation a92e052d-9d26-4bee-9c49-5ba0d28d4ab6 · outbound

This paper cites Federated learning with Bayesian differential privacy.

Sketched Gaussian Mechanism for Private Federated Learning Federated learning with Bayesian differential privacy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.595697Z

Source-reported events for the cited work

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Observation d3d3e0c8-5563-4e8f-b0d2-6bc68f627dfa · outbound

This paper cites Stable Rank and Intrinsic Dimension of Real and Complex Matrices.

Sketched Gaussian Mechanism for Private Federated Learning Stable Rank and Intrinsic Dimension of Real and Complex Matrices

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:12:53.123235Z

Source-reported events for the cited work

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Observation ebd7abd4-8207-4fcb-8f9e-0ea49e5240ef · outbound

This paper cites An investigation into neural net optimization via Hessian eigenvalue density.

Sketched Gaussian Mechanism for Private Federated Learning An investigation into neural net optimization via Hessian eigenvalue density

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.584772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54debbf4-ba4d-434c-a834-3ffc7fc686dd · outbound

This paper cites Hessian based analysis of SGD for deep nets: Dynamics and generalization.

Sketched Gaussian Mechanism for Private Federated Learning Hessian based analysis of SGD for deep nets: Dynamics and generalization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.574281Z

Source-reported events for the cited work

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Observation bd57ed43-8e23-4aee-b56d-253bba041ffb · outbound

This paper cites Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training.

Sketched Gaussian Mechanism for Private Federated Learning Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.922764Z

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Observation f646950f-0641-47e7-8df5-a85bfd2daaf3 · outbound

This paper cites Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond.

Sketched Gaussian Mechanism for Private Federated Learning Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:50.994685Z

Source-reported events for the cited work

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Observation 77f81e85-0a3b-4405-baf8-67ae205969f6 · outbound

This paper cites an unresolved cited work.

Sketched Gaussian Mechanism for Private Federated Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:12:56.563379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da3bf9bd-86e8-4011-9d01-6e968bd9c813 · outbound

This paper cites On the Power-Law Hessian Spectrums in Deep Learning.

Sketched Gaussian Mechanism for Private Federated Learning On the Power-Law Hessian Spectrums in Deep Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:51.213934Z

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Observation 97ac1617-c7de-4a19-8d93-597025ab19dd · outbound

This paper cites Why Transformers Need Adam: A Hessian Perspective.

Sketched Gaussian Mechanism for Private Federated Learning Why Transformers Need Adam: A Hessian Perspective

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:51.314436Z

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Observation 32eac1fe-ebca-4b3e-81c2-9e477c1c7ec7 · outbound

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

Sketched Gaussian Mechanism for Private Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.552673Z

Source-reported events for the cited work

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Observation bd38a1f0-30da-4202-b684-0465e3d5210e · outbound

This paper cites FedNL: Making Newton-Type Methods Applicable to Federated Learning.

Sketched Gaussian Mechanism for Private Federated Learning FedNL: Making Newton-Type Methods Applicable to Federated Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:51.552457Z

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Observation 2665af9f-ed34-477c-950f-4a8e52bf871b · outbound

This paper cites Momentum provably improves error feed- back!Advances in Neural Information Processing Systems, 36, 2024.

Sketched Gaussian Mechanism for Private Federated Learning Momentum provably improves error feed- back!Advances in Neural Information Processing Systems, 36, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.541939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1f410f8-a41a-4270-83e0-327535896515 · outbound

This paper cites FetchSGD: Communication-efficient federated learning with sketching.

Sketched Gaussian Mechanism for Private Federated Learning FetchSGD: Communication-efficient federated learning with sketching

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.427694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3db9492f-a44c-42f1-ba54-2295f4b8f930 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Sketched Gaussian Mechanism for Private Federated Learning Adam: A Method for Stochastic Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:51.774554Z

Source-reported events for the cited work

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Observation 6676055f-7c97-4d41-9f09-12d5525ef01d · outbound

This paper cites Adaptive methods for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018.

Sketched Gaussian Mechanism for Private Federated Learning Adaptive methods for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:51.869846Z

Source-reported events for the cited work

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Observation a4cfab35-b12b-4a54-ab84-c5d8b8b2fcb9 · outbound

This paper cites Improved convergence of differential private SGD with gradient clipping.

Sketched Gaussian Mechanism for Private Federated Learning Improved convergence of differential private SGD with gradient clipping

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.223603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5c7f80f8-17eb-4d05-814e-7f202ca28686 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning.

Sketched Gaussian Mechanism for Private Federated Learning Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:56.066768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 283b07f0-263c-4c73-b4b5-954e434f9e23 · outbound

This paper cites Information leaks in federated learning.

Sketched Gaussian Mechanism for Private Federated Learning Information leaks in federated learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.915871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0df0d5c4-579d-481c-bcb0-274a6b480545 · outbound

This paper cites DBA: Distributed backdoor attacks against federated learning.

Sketched Gaussian Mechanism for Private Federated Learning DBA: Distributed backdoor attacks against federated learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.783229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 185ded53-f506-4cd6-b3f4-6b941656c205 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Sketched Gaussian Mechanism for Private Federated Learning iDLG: Improved Deep Leakage from Gradients

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.224737Z

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Observation a7d931bf-b3e6-4742-99ef-6803574e29bb · outbound

This paper cites Deep leakage from gradients.Advances in Neural Information Processing Systems, 32, 2019.

Sketched Gaussian Mechanism for Private Federated Learning Deep leakage from gradients.Advances in Neural Information Processing Systems, 32, 2019

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.631581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ff8bba1-e1cb-4728-94ad-bedf54b7e018 · outbound

This paper cites Andersen, Jun Woo Park, Alexander J.

Sketched Gaussian Mechanism for Private Federated Learning Andersen, Jun Woo Park, Alexander J

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.454527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2b1e4a3-dcc2-452a-bc3d-00bd742b2132 · outbound

This paper cites Brendan McMahan, Brendan Avent, Aur ´elien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, et al.

Sketched Gaussian Mechanism for Private Federated Learning Brendan McMahan, Brendan Avent, Aur ´elien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, et al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.246695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28420740-cf23-4032-adad-dc1d06964f06 · outbound

This paper cites Andersen, Alexander J.

Sketched Gaussian Mechanism for Private Federated Learning Andersen, Alexander J

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:55.041200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4fd12059-a8be-43c1-b2c4-3f461ff46945 · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Sketched Gaussian Mechanism for Private Federated Learning Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.601296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 097a903e-1ba1-45aa-9d01-9dfffa3e73da · outbound

This paper cites Atomo: Communication-efficient learning via atomic sparsification.Advances in Neural In- formation Processing Systems, 31, 2018.

Sketched Gaussian Mechanism for Private Federated Learning Atomo: Communication-efficient learning via atomic sparsification.Advances in Neural In- formation Processing Systems, 31, 2018

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:54.850468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5abefdd8-72ce-4c46-b337-f0179d9d641c · outbound

This paper cites Inan, Berivan Isik, Ayfer Ozgur, and Tsachy Weissman.

Sketched Gaussian Mechanism for Private Federated Learning Inan, Berivan Isik, Ayfer Ozgur, and Tsachy Weissman

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:54.624542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a48c6935-423a-42e0-beee-018463cfe1d4 · outbound

This paper cites QSGD: Communication- efficient SGD via gradient quantization and encoding.Advances in Neural Information Processing Sys- tems, 30, 2017.

Sketched Gaussian Mechanism for Private Federated Learning QSGD: Communication- efficient SGD via gradient quantization and encoding.Advances in Neural Information Processing Sys- tems, 30, 2017

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:54.345176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f2710ca-8e7f-4afe-9380-dfd931fff0a9 · outbound

This paper cites Communication-efficient federated learning for heteroge- neous edge devices based on adaptive gradient quantization.

Sketched Gaussian Mechanism for Private Federated Learning Communication-efficient federated learning for heteroge- neous edge devices based on adaptive gradient quantization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:54.107132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ea4794f-14a6-4073-92d4-4ea86d57b3d9 · outbound

This paper cites FedPAQ: A communication-efficient federated learning method with periodic averaging and quanti- zation.

Sketched Gaussian Mechanism for Private Federated Learning FedPAQ: A communication-efficient federated learning method with periodic averaging and quanti- zation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.870976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c115bb44-dc6a-46a8-9768-d1056bccf986 · outbound

This paper cites Communication-efficient distributed SGD with sketching.Advances in Neural Information Processing Systems, 32, 2019.

Sketched Gaussian Mechanism for Private Federated Learning Communication-efficient distributed SGD with sketching.Advances in Neural Information Processing Systems, 32, 2019

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.719880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb9d3f31-8f91-4526-baaf-b2542484f5ac · outbound

This paper cites Stich, Jean-Baptiste Cordonnier, and Martin Jaggi.

Sketched Gaussian Mechanism for Private Federated Learning Stich, Jean-Baptiste Cordonnier, and Martin Jaggi

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.658522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b19600b-3ff2-4bba-a22d-24ea19468357 · outbound

This paper cites LDP-Fed: Federated learning with local differential privacy.

Sketched Gaussian Mechanism for Private Federated Learning LDP-Fed: Federated learning with local differential privacy

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.610194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ddbaf9f-3b93-4be8-9b33-3b99030f8244 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning.

Sketched Gaussian Mechanism for Private Federated Learning A hybrid approach to privacy-preserving federated learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.587634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3d4810c-bd71-4a1a-bcf7-081d81a44b79 · outbound

This paper cites Canonne, Gautam Kamath, and Thomas Steinke.

Sketched Gaussian Mechanism for Private Federated Learning Canonne, Gautam Kamath, and Thomas Steinke

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.567550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b76e01a2-3435-44a9-abc0-4fc254701c87 · outbound

This paper cites Sparse Communication for Distributed Gradient Descent.

Sketched Gaussian Mechanism for Private Federated Learning Sparse Communication for Distributed Gradient Descent

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.736913Z

Source-reported events for the cited work

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Observation 069ec941-891d-4576-9d44-d9aadcc68136 · outbound

This paper cites Yu, Sanjiv Kumar, and H.

Sketched Gaussian Mechanism for Private Federated Learning Yu, Sanjiv Kumar, and H

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.556211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd15e354-d220-4c75-8193-f85f08027b99 · outbound

This paper cites TernGrad: Ternary gradients to reduce communication in distributed deep learning.Advances in Neural Informa- tion Processing Systems, 30, 2017.

Sketched Gaussian Mechanism for Private Federated Learning TernGrad: Ternary gradients to reduce communication in distributed deep learning.Advances in Neural Informa- tion Processing Systems, 30, 2017

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.544594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 075230c9-f2ab-4525-a6a8-924b243c4f81 · outbound

This paper cites Drive: One-bit distributed mean estimation.Advances in Neural Information Processing Sys- tems, 34:362–377, 2021.

Sketched Gaussian Mechanism for Private Federated Learning Drive: One-bit distributed mean estimation.Advances in Neural Information Processing Sys- tems, 34:362–377, 2021

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.532155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874b6f07-da5f-4a85-b82e-e0538ee71772 · outbound

This paper cites Masked training of neural networks with partial gradients.

Sketched Gaussian Mechanism for Private Federated Learning Masked training of neural networks with partial gradients

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.517931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50d2822d-76db-470c-be92-a1858c3ec1a8 · outbound

This paper cites PowerSGD: Practical low-rank gradient compression for distributed optimization.Advances in Neural Information Processing Systems, 32, 2019.

Sketched Gaussian Mechanism for Private Federated Learning PowerSGD: Practical low-rank gradient compression for distributed optimization.Advances in Neural Information Processing Systems, 32, 2019

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.506443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d938735-70e9-4482-a18c-a2886ecacde3 · outbound

This paper cites SketchML: Accelerating distributed machine learning with data sketches.

Sketched Gaussian Mechanism for Private Federated Learning SketchML: Accelerating distributed machine learning with data sketches

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.494210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40a57b13-27ed-4d7c-bba4-2ae9b7704a70 · outbound

This paper cites Sparse Random Networks for Communication-Efficient Federated Learning.

Sketched Gaussian Mechanism for Private Federated Learning Sparse Random Networks for Communication-Efficient Federated Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.759124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff1e93b-bfba-452d-9e99-fda5880eb099 · outbound

This paper cites LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.

Sketched Gaussian Mechanism for Private Federated Learning LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.762668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f71be9f4-2a10-4268-9d8b-0846251257c8 · outbound

This paper cites FedMask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking.

Sketched Gaussian Mechanism for Private Federated Learning FedMask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.482074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f08b048-1df0-4432-8c19-1d433a5b0438 · outbound

This paper cites An improved data stream summary: the count-min sketch and its applications.Journal of Algorithms, 55(1):58–75, 2005.

Sketched Gaussian Mechanism for Private Federated Learning An improved data stream summary: the count-min sketch and its applications.Journal of Algorithms, 55(1):58–75, 2005

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.468395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53d65609-cc8b-4d04-be56-558db50c47d7 · outbound

This paper cites Space-efficient online computation of quantile summaries.

Sketched Gaussian Mechanism for Private Federated Learning Space-efficient online computation of quantile summaries

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.454142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7892d047-8087-4ae9-820b-c77ac852c81e · outbound

This paper cites Kane and Jelani Nelson.

Sketched Gaussian Mechanism for Private Federated Learning Kane and Jelani Nelson

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.440396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7d58e71-7f05-4f12-b451-ce2e4b7e5ceb · outbound

This paper cites Tropp, Alp Yurtsever, Madeleine Udell, and Volkan Cevher.

Sketched Gaussian Mechanism for Private Federated Learning Tropp, Alp Yurtsever, Madeleine Udell, and Volkan Cevher

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.429179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74503705-96c3-42f3-ab3c-6196e7c35d15 · outbound

This paper cites Graph sketches: sparsification, spanners, and subgraphs.

Sketched Gaussian Mechanism for Private Federated Learning Graph sketches: sparsification, spanners, and subgraphs

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.416819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e6d4e0d0-08d3-46e8-be56-67e3dfcfb75a · outbound

This paper cites Asymptotics for sketching in least squares regression.Advances in Neural Information Processing Systems, 32, 2019.

Sketched Gaussian Mechanism for Private Federated Learning Asymptotics for sketching in least squares regression.Advances in Neural Information Processing Systems, 32, 2019

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.404506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f31e1a6-5f4d-4dc3-857d-f42b2f85fc19 · outbound

This paper cites FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching.

Sketched Gaussian Mechanism for Private Federated Learning FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:12:52.964037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52dae356-ef0f-42db-bb2b-6d162a7c9bcf · outbound

This paper cites Choquette-Choo, Peter Kairouz, and Ananda Theertha Suresh.

Sketched Gaussian Mechanism for Private Federated Learning Choquette-Choo, Peter Kairouz, and Ananda Theertha Suresh

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.391785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc970a66-855f-4dc6-afd8-6ba293cb3c0f · outbound

This paper cites The algorithmic foundations of differential privacy.Foundations and Trends in Theoretical Computer Science, 9(3–4):211–407, 2014.

Sketched Gaussian Mechanism for Private Federated Learning The algorithmic foundations of differential privacy.Foundations and Trends in Theoretical Computer Science, 9(3–4):211–407, 2014

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.377510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 628aa69e-8ec8-4791-afdc-6dec62ec98d4 · outbound

This paper cites Yang, Farhad Farokhi, Shi Jin, Tony Q.

Sketched Gaussian Mechanism for Private Federated Learning Yang, Farhad Farokhi, Shi Jin, Tony Q

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.364130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb5f5a17-d792-4b09-8437-d6c8856f5685 · outbound

This paper cites Brendan McMahan, Sar- var Patel, Daniel Ramage, Aaron Segal, and Karn Seth.

Sketched Gaussian Mechanism for Private Federated Learning Brendan McMahan, Sar- var Patel, Daniel Ramage, Aaron Segal, and Karn Seth

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.347032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99b48097-43e6-498a-8049-cf18632bc88a · outbound

This paper cites 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.

Sketched Gaussian Mechanism for Private Federated Learning 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.333917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18f14081-342f-486b-965a-0e7d4babc3d3 · outbound

This paper cites An elementary proof of a theorem of Johnson and Linden- strauss.Random Structures & Algorithms, 22(1):60–65, 2003.

Sketched Gaussian Mechanism for Private Federated Learning An elementary proof of a theorem of Johnson and Linden- strauss.Random Structures & Algorithms, 22(1):60–65, 2003

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.321714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 523aa17d-afe3-4b7b-b2a1-aff49b877134 · outbound

This paper cites Group normalization.

Sketched Gaussian Mechanism for Private Federated Learning Group normalization

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.308244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a1fbd06-7620-43d9-a841-3815c0731771 · outbound

This paper cites an unresolved cited work.

Sketched Gaussian Mechanism for Private Federated Learning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:12:53.293834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b172e0fb-80ea-4e55-ab32-887659c79ede · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(7), 2011.

Sketched Gaussian Mechanism for Private Federated Learning Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(7), 2011

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.815709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6ab9db-ba45-406c-a82a-f3680c9224c9 · outbound

This paper cites Divide the gradient by a running average of its recent magni- tude.

Sketched Gaussian Mechanism for Private Federated Learning Divide the gradient by a running average of its recent magni- tude

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.265923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dae07019-ae4f-40f9-a7ae-bf754d0a9148 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Sketched Gaussian Mechanism for Private Federated Learning ADADELTA: An Adaptive Learning Rate Method

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.821331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6750a05-ddb7-46f3-914a-e06c17246a11 · outbound

This paper cites Adaptive Gradient Methods with Dynamic Bound of Learning Rate.

Sketched Gaussian Mechanism for Private Federated Learning Adaptive Gradient Methods with Dynamic Bound of Learning Rate

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.824549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a6243d-b713-499a-b08f-6f25bd7b456a · outbound

This paper cites Adaptive Federated Optimization.

Sketched Gaussian Mechanism for Private Federated Learning Adaptive Federated Optimization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.827626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac90d1f-ecf3-4e26-ba97-3b1059588aee · outbound

This paper cites R ´enyi differential privacy.

Sketched Gaussian Mechanism for Private Federated Learning R ´enyi differential privacy

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.253806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28112a80-d482-4b37-89cc-b70dd5ef4ecc · outbound

This paper cites Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches.

Sketched Gaussian Mechanism for Private Federated Learning Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:12:52.918559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f027e3a-f9ad-4637-bc5f-05bdd3f08a79 · outbound

This paper cites On measures of entropy and information.

Sketched Gaussian Mechanism for Private Federated Learning On measures of entropy and information

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.240687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d59527d-6e90-4341-b107-29026be99673 · outbound

This paper cites an unresolved cited work.

Sketched Gaussian Mechanism for Private Federated Learning Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-04T21:12:53.227685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da102f70-0ff1-4631-9df3-e662c8652678 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Sketched Gaussian Mechanism for Private Federated Learning GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.843063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502791fa-0dd0-4087-a976-4125e09cbae8 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Sketched Gaussian Mechanism for Private Federated Learning BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.213045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b89d0893-f0a7-476d-9449-9cb8fe6fc7e7 · outbound

This paper cites Efficient Private Statistics with Succinct Sketches.

Sketched Gaussian Mechanism for Private Federated Learning Efficient Private Statistics with Succinct Sketches

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T21:12:52.849424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfe8cd4-b196-454e-b83c-bf009d1fa298 · outbound

This paper cites Federated heavy hitters discovery with differential privacy.

Sketched Gaussian Mechanism for Private Federated Learning Federated heavy hitters discovery with differential privacy

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.197527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f05d994b-91e4-4fb8-b76d-aad2dc4e8ec9 · outbound

This paper cites ηlocal N X c∈Ct R⊤ t Rtclip ∆c,t ηlocal , τ +R ⊤ t zc,t # i ≤ √1−β 2ηlocal N ϵ2 X c∈Ct R⊤ t Rtclip ∆c,t ηlocal , τ i + √1−β 2ηlocal N ϵ2.

Sketched Gaussian Mechanism for Private Federated Learning ηlocal N X c∈Ct R⊤ t Rtclip ∆c,t ηlocal , τ +R ⊤ t zc,t # i ≤ √1−β 2ηlocal N ϵ2 X c∈Ct R⊤ t Rtclip ∆c,t ηlocal , τ i + √1−β 2ηlocal N ϵ2

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:12:53.185685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers