Privacy-Preserving Quantized Federated Learning with Diverse Precision | Paper Citation Record

Observation 226e806b-ffd1-445b-86ed-227c03f98570 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning: Challenges, methods, and future directions,

Reference 1

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Observation 9cd174ed-6c33-4f1e-9150-33e5caae1f51 · outbound

This paper cites Federated learning and wireless commu- nications,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning and wireless commu- nications,

Reference 2

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Observation 6a9278de-76f4-4daf-947e-34b3421e4515 · outbound

This paper cites Federated learning: A signal processing perspective,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning: A signal processing perspective,

Reference 3

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Observation a48cb18f-e4e0-45b6-a776-2050965652e1 · outbound

This paper cites Pretraining federated text models for next word prediction,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Pretraining federated text models for next word prediction,

Reference 4

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Observation 6575f376-4568-4779-8065-76045561dadb · outbound

This paper cites FedNLP: Benchmarking federated learning methods for natural language processing tasks,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision FedNLP: Benchmarking federated learning methods for natural language processing tasks,

Reference 5

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Observation b7918b7f-41a0-4b10-8d75-21005dd247b4 · outbound

This paper cites Federated learning for connected and automated vehicles: A survey of existing approaches and challenges,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning for connected and automated vehicles: A survey of existing approaches and challenges,

Reference 6

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Observation 0ffeeb74-56de-45e1-9e2a-b74467d4fef3 · outbound

This paper cites Federated learning for internet of things: A comprehensive survey,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning for internet of things: A comprehensive survey,

Reference 7

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Observation 32abb5f2-853b-4311-97d8-498fc28931a0 · outbound

This paper cites Scoring aided federated learning on long-tailed data for wireless iomt based healthcare system,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Scoring aided federated learning on long-tailed data for wireless iomt based healthcare system,

Reference 8

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Observation cea4b7f7-563b-4f91-ab7d-29a728ffd137 · outbound

This paper cites Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions,

Reference 9

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Observation 9fb0324c-3df1-4b9e-8a61-5c0671fedebf · outbound

This paper cites Learning Differentially Private Recurrent Language Models.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Learning Differentially Private Recurrent Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:08:26.855347Z

Source-reported events for the cited work

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Observation 3ee313ba-964c-447b-b10b-d15bef1586d3 · outbound

This paper cites OpenFedLLM: Training large language models on decentral- ized private data via federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision OpenFedLLM: Training large language models on decentral- ized private data via federated learning,

Reference 11

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Observation fa32d031-9063-42dc-a3d3-2d73114d509b · outbound

This paper cites The distributed discrete gaussian mechanism for federated learning with secure aggregation,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision The distributed discrete gaussian mechanism for federated learning with secure aggregation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:39.734490Z

Source-reported events for the cited work

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Observation ee44365f-7185-4bef-99d5-426628ea2276 · outbound

This paper cites Deep leakage from gradients,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Deep leakage from gradients,

Reference 13

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Source-reported events for the cited work

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Observation ed83dbbc-ff40-4b68-8336-27c583045e57 · outbound

This paper cites Evaluating gradient inversion attacks and defenses in federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Evaluating gradient inversion attacks and defenses in federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:39.310355Z

Source-reported events for the cited work

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Observation 2a4dcb7d-c118-4852-bbbc-d4670506286c · outbound

This paper cites Inverting gradients - how easy is it to break privacy in federated learning?.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Inverting gradients - how easy is it to break privacy in federated learning?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:39.042275Z

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Observation 511e2ef2-9cc5-4ae6-95c2-590f8ddca116 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision The algorithmic foundations of differential privacy,

Reference 16

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Source-reported events for the cited work

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Observation 6cca232e-c431-4d19-94b7-8e85530031ca · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning with differential privacy: Algorithms and performance analysis,

Reference 17

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Observation 9ec619aa-67cc-44a1-a501-d967b40256d5 · outbound

This paper cites Differentially private Aircomp federated learning with power adaptation harnessing receiver noise,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Differentially private Aircomp federated learning with power adaptation harnessing receiver noise,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:38.256103Z

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Observation 8fdd7eb2-fcd9-4ab8-9e74-c90ed30c9bdf · outbound

This paper cites Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:38.028750Z

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Observation c520853a-5d5c-4d42-b860-5198f4c02c33 · outbound

This paper cites Privacy amplification for federated learning via user sampling and wireless aggregation,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Privacy amplification for federated learning via user sampling and wireless aggregation,

Reference 20

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Source-reported events for the cited work

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

Observation 1329a5d0-84a2-41b1-9b2b-860866c80018 · outbound

This paper cites Federated learning with local differential privacy: Trade-offs between privacy, utility, and communica- tion,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning with local differential privacy: Trade-offs between privacy, utility, and communica- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:37.605836Z

Source-reported events for the cited work

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Observation 2534b41f-d6e5-4a95-ad57-3d6fc1b95573 · outbound

This paper cites User- level privacy-preserving federated learning: Analysis and performance optimization,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision User- level privacy-preserving federated learning: Analysis and performance optimization,

Reference 22

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Source-reported events for the cited work

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Observation 725a77d6-2dd4-4d36-91ad-1206239730f3 · outbound

This paper cites Time-varying noise perturbation and power control for differential-privacy-preserving wireless federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Time-varying noise perturbation and power control for differential-privacy-preserving wireless federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:37.442546Z

Source-reported events for the cited work

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Observation 7719dc26-213b-446a-9c3e-4125faa47707 · outbound

This paper cites Breaking the communication- privacy-accuracy trilemma,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Breaking the communication- privacy-accuracy trilemma,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:37.305488Z

Source-reported events for the cited work

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Observation 19c604ce-9ba2-40a9-8787-16f2d3dcac4e · outbound

This paper cites Randomized Quantization is All You Need for Differential Privacy in Federated Learning.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Randomized Quantization is All You Need for Differential Privacy in Federated Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:08:28.698580Z

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Observation fbf3bec7-3220-4ca1-af83-6b5356e7a21c · outbound

This paper cites QMGeo: Differentially private federated learning via stochastic quantization with mixed truncated geometric dis- tribution,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision QMGeo: Differentially private federated learning via stochastic quantization with mixed truncated geometric dis- tribution,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:37.131327Z

Source-reported events for the cited work

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

Observation 534b032d-5bd5-4e74-a0f8-e0f37a83200c · outbound

This paper cites Joint privacy en- hancement and quantization in federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Joint privacy en- hancement and quantization in federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.984703Z

Source-reported events for the cited work

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

Observation 6fa8b7e8-47d5-4fe8-a683-827317c3a34d · outbound

This paper cites Dynamic aggregation for heterogeneous quantization in federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Dynamic aggregation for heterogeneous quantization in federated learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.831146Z

Source-reported events for the cited work

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

Observation 5768290e-3496-4159-a944-b512318f0c3e · outbound

This paper cites Federated learning with heterogeneous quantization bit allocation and aggregation for internet of things,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning with heterogeneous quantization bit allocation and aggregation for internet of things,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.697040Z

Source-reported events for the cited work

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

Observation 2d12813d-a1d2-4f82-8022-3281a3aa8047 · outbound

This paper cites Quantized federated learning under transmission delay and outage constraints,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Quantized federated learning under transmission delay and outage constraints,

Reference 30

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Source-reported events for the cited work

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Observation 12efffb1-5c74-4a31-8050-fd97bc5daf8c · outbound

This paper cites QSGD: communication-efficient SGD via gradient quantization and encoding,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision QSGD: communication-efficient SGD via gradient quantization and encoding,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.568205Z

Source-reported events for the cited work

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

Observation d7f89f78-0525-4a1d-a0a8-730b3d5ed94a · outbound

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

Privacy-Preserving Quantized Federated Learning with Diverse Precision FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.396138Z

Source-reported events for the cited work

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

Observation 13e42ae3-1d38-4910-b942-73a06cc1757d · outbound

This paper cites Quantized federated learning under transmission delay and outage constraints,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Quantized federated learning under transmission delay and outage constraints,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.244439Z

Source-reported events for the cited work

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

Observation cae605fe-fc0f-47c8-b8ab-d40df6b77d5d · outbound

This paper cites The dual simplex algorithm for bounded variables,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision The dual simplex algorithm for bounded variables,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:36.060890Z

Source-reported events for the cited work

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

Observation eb6bff2d-2de7-483b-8c50-e23f91b587c9 · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation 4f7a3c0b-9992-4fee-a705-3fb14dd25bb9 · outbound

This paper cites A new polynomial-time algorithm for linear program- ming,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision A new polynomial-time algorithm for linear program- ming,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:35.727856Z

Source-reported events for the cited work

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

Observation ba976b62-5dd3-4cbb-b571-1e80795673b5 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:35.428951Z

Source-reported events for the cited work

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

Observation 08ffb05e-56c4-4bf4-85cb-7d2455a16796 · outbound

This paper cites Efficient mini-batch training for stochastic optimization,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Efficient mini-batch training for stochastic optimization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:35.121364Z

Source-reported events for the cited work

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

Observation c4c62f09-c3db-4a90-8fcb-30d3a3d55c74 · outbound

This paper cites Deep learning with differential privacy,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Deep learning with differential privacy,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:34.882465Z

Source-reported events for the cited work

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

Observation 212e7e87-e169-4767-9822-b808270ba85d · outbound

This paper cites Federated learning over noisy channels: Conver- gence analysis and design examples,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Federated learning over noisy channels: Conver- gence analysis and design examples,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:34.567513Z

Source-reported events for the cited work

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

Observation 8f4ff76b-ef40-48b9-9a39-5911c2f70358 · outbound

This paper cites Optimizing federated averaging over fading channels,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Optimizing federated averaging over fading channels,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:34.369546Z

Source-reported events for the cited work

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

Observation 900a3faa-21b1-4cc0-bdae-28a79b088a09 · outbound

This paper cites Nesterov, Introductory Lectures on Convex Optimization: A Basic Course, 1st ed.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Nesterov, Introductory Lectures on Convex Optimization: A Basic Course, 1st ed

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:34.148650Z

Source-reported events for the cited work

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

Observation 2f5895cb-cba0-4479-8a15-788e48bea36f · outbound

This paper cites Revisiting gradient clip- ping: Stochastic bias and tight convergence guarantees,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Revisiting gradient clip- ping: Stochastic bias and tight convergence guarantees,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:33.842779Z

Source-reported events for the cited work

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

Observation 04774242-9fed-49c3-9828-afd7db3652bf · outbound

This paper cites A guide through the zoo of biased SGD,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision A guide through the zoo of biased SGD,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:33.646197Z

Source-reported events for the cited work

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

Observation 1535ee47-a91f-4fa1-9382-821f788c41b8 · outbound

This paper cites On biased compression for distributed learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision On biased compression for distributed learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:33.462288Z

Source-reported events for the cited work

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

Observation 08ff5540-8118-4b29-bb2c-fc64900e9d57 · outbound

This paper cites Supplement to Privacy-Preserving Quantized Federated Learning with Diverse Precision,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Supplement to Privacy-Preserving Quantized Federated Learning with Diverse Precision,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:33.125837Z

Source-reported events for the cited work

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

Observation d4c81696-aadd-4e84-a32a-78ee3c092748 · outbound

This paper cites Amplitude- varying perturbation for balancing privacy and utility in federated learning,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Amplitude- varying perturbation for balancing privacy and utility in federated learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:32.859876Z

Source-reported events for the cited work

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

Observation 443c94da-74b8-48ac-9df0-0c685b763143 · outbound

This paper cites Li and X.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Li and X

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:32.645231Z

Source-reported events for the cited work

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

Observation ba0c68f0-9c4e-4f90-aea6-5f61b2e79ac3 · outbound

This paper cites An approach to sensor network throughput enhancement by PHY-Aided MAC,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision An approach to sensor network throughput enhancement by PHY-Aided MAC,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:32.388319Z

Source-reported events for the cited work

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

Observation 2478e36d-29cc-4eed-a77d-fa9583cf840c · outbound

This paper cites Backpropagation applied to handwritten zip code recognition,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Backpropagation applied to handwritten zip code recognition,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:32.240804Z

Source-reported events for the cited work

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

Observation 85235303-f26f-44e3-9fe5-ce258fc62135 · outbound

This paper cites MNIST handwritten digit database,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision MNIST handwritten digit database,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:08:32.069597Z

Source-reported events for the cited work

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

Observation 1fcd8f31-45a6-486e-b586-c2578fa41011 · outbound

This paper cites Image quality assess- ment: from error visibility to structural similarity,.

Privacy-Preserving Quantized Federated Learning with Diverse Precision Image quality assess- ment: from error visibility to structural similarity,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:08:31.700915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fdc2d4-54e9-49c9-82c3-f93f1c929ace · outbound

This paper cites FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks.

Privacy-Preserving Quantized Federated Learning with Diverse Precision FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:08:31.870015Z

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