Modular Federated Learning: A Meta-Framework Perspective | Paper Citation Record

Observation 4b33393f-411e-4f1a-93ec-4e7723bd263d · outbound

This paper cites A survey on homomorphic encryption schemes: Theory and implementation.

Modular Federated Learning: A Meta-Framework Perspective A survey on homomorphic encryption schemes: Theory and implementation

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This paper cites Personalized federated learning with gaussian processes, in: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W.

Modular Federated Learning: A Meta-Framework Perspective Personalized federated learning with gaussian processes, in: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W

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This paper cites Prio+:Privacypreservingaggregatestatisticsviabooleanshares, in: Galdi, C., Jarecki, S.

Modular Federated Learning: A Meta-Framework Perspective Prio+:Privacypreservingaggregatestatisticsviabooleanshares, in: Galdi, C., Jarecki, S

Reference 3

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This paper cites Genetic cfl: Hyperparameter optimization in clustered federated learning.

Modular Federated Learning: A Meta-Framework Perspective Genetic cfl: Hyperparameter optimization in clustered federated learning

Reference 4

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This paper cites Membershield:Aframeworkforfederatedlearningwithmembershipprivacy.

Modular Federated Learning: A Meta-Framework Perspective Membershield:Aframeworkforfederatedlearningwithmembershipprivacy

Reference 5

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This paper cites Formal logic enabled personalized federated learning through property inference, in: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24).

Modular Federated Learning: A Meta-Framework Perspective Formal logic enabled personalized federated learning through property inference, in: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24)

Reference 6

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Modular Federated Learning: A Meta-Framework Perspective Learning from noisy examples

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This paper cites A public domain dataset for human activity recognition using smartphones., in: Esann, p.

Modular Federated Learning: A Meta-Framework Perspective A public domain dataset for human activity recognition using smartphones., in: Esann, p

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This paper cites Large scale distributed neural network training through online distillation.

Modular Federated Learning: A Meta-Framework Perspective Large scale distributed neural network training through online distillation

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This paper cites Common voice: A massively-multilingual speech corpus, in: ProceedingsoftheTwelfthLanguageResourcesandEvaluationConference,EuropeanLanguageResourcesAssociation,Marseille,France.

Modular Federated Learning: A Meta-Framework Perspective Common voice: A massively-multilingual speech corpus, in: ProceedingsoftheTwelfthLanguageResourcesandEvaluationConference,EuropeanLanguageResourcesAssociation,Marseille,France

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This paper cites Personalized federated learning via convex clustering, in: 2022 IEEE International Smart Cities Conference (ISC2), pp.

Modular Federated Learning: A Meta-Framework Perspective Personalized federated learning via convex clustering, in: 2022 IEEE International Smart Cities Conference (ISC2), pp

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Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

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This paper cites URL:https://openreview.net/pdf?id=ozN92d7CHX.

Modular Federated Learning: A Meta-Framework Perspective URL:https://openreview.net/pdf?id=ozN92d7CHX

Reference 13

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This paper cites Openfhe:Open- sourcefullyhomomorphicencryptionlibrary.

Modular Federated Learning: A Meta-Framework Perspective Openfhe:Open- sourcefullyhomomorphicencryptionlibrary

Reference 14

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This paper cites Differential privacy has disparate impact on model accuracy.

Modular Federated Learning: A Meta-Framework Perspective Differential privacy has disparate impact on model accuracy

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This paper cites Membership inference attacks and defenses in federated learning: A survey.

Modular Federated Learning: A Meta-Framework Perspective Membership inference attacks and defenses in federated learning: A survey

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This paper cites Entropy-based logic explanations of neural networks.

Modular Federated Learning: A Meta-Framework Perspective Entropy-based logic explanations of neural networks

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This paper cites A little is enough: Circumventing defenses for distributed learning 32.

Modular Federated Learning: A Meta-Framework Perspective A little is enough: Circumventing defenses for distributed learning 32

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This paper cites FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus.

Modular Federated Learning: A Meta-Framework Perspective FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus

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Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

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This paper cites Scionfl:Efficientandrobustsecurequantizedaggregation,in:2024IEEEConferenceonSecureandTrustworthyMachineLearning(SaTML), IEEE.

Modular Federated Learning: A Meta-Framework Perspective Scionfl:Efficientandrobustsecurequantizedaggregation,in:2024IEEEConferenceonSecureandTrustworthyMachineLearning(SaTML), IEEE

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This paper cites Parallel and Distributed Computation: Numerical Methods.

Modular Federated Learning: A Meta-Framework Perspective Parallel and Distributed Computation: Numerical Methods

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This paper cites Flower: A Friendly Federated Learning Research Framework.

Modular Federated Learning: A Meta-Framework Perspective Flower: A Friendly Federated Learning Research Framework

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This paper cites Experiment tracking with weights and biases.

Modular Federated Learning: A Meta-Framework Perspective Experiment tracking with weights and biases

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This paper cites Sok: Technical implementation and human impact of internet privacy regulations, in: 2024 IEEE Symposium on Security and Privacy (SP), IEEE.

Modular Federated Learning: A Meta-Framework Perspective Sok: Technical implementation and human impact of internet privacy regulations, in: 2024 IEEE Symposium on Security and Privacy (SP), IEEE

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This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent, in: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Modular Federated Learning: A Meta-Framework Perspective Machine learning with adversaries: Byzantine tolerant gradient descent, in: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

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This paper cites Towards federated learning at scale: System design, in: Talwalkar, A., Smith, V., Zaharia, M.

Modular Federated Learning: A Meta-Framework Perspective Towards federated learning at scale: System design, in: Talwalkar, A., Smith, V., Zaharia, M

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Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

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This paper cites Practical Secure Aggregation for Federated Learning on User-Held Data.

Modular Federated Learning: A Meta-Framework Perspective Practical Secure Aggregation for Federated Learning on User-Held Data

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Modular Federated Learning: A Meta-Framework Perspective Asymptotic agreement in distributed estimation

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Modular Federated Learning: A Meta-Framework Perspective Orbit decentralized autonomous organization using blockchain-based consensus mechanisms

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Modular Federated Learning: A Meta-Framework Perspective Distributed optimization and statistical learning via the alternating direction method of multipliers

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Modular Federated Learning: A Meta-Framework Perspective Fate, flower, pysyft & co

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Modular Federated Learning: A Meta-Framework Perspective LEAF: A Benchmark for Federated Settings

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Modular Federated Learning: A Meta-Framework Perspective Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

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Modular Federated Learning: A Meta-Framework Perspective Bayesian Federated Learning: A Survey

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This paper cites Learning autoencoder ensembles for detecting mal- ware hidden communications in iot ecosystems.

Modular Federated Learning: A Meta-Framework Perspective Learning autoencoder ensembles for detecting mal- ware hidden communications in iot ecosystems

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Modular Federated Learning: A Meta-Framework Perspective Diffusion recursive least-squares for distributed estimation over adaptive networks

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Modular Federated Learning: A Meta-Framework Perspective SplitNN-driven Vertical Partitioning

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Modular Federated Learning: A Meta-Framework Perspective A decentralized federated learning using reputation

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Modular Federated Learning: A Meta-Framework Perspective Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications

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Modular Federated Learning: A Meta-Framework Perspective A blockchain-based federated learning method for smart healthcare

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Modular Federated Learning: A Meta-Framework Perspective A fast distributed proximal-gradient method

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Modular Federated Learning: A Meta-Framework Perspective Asynchronous parallel incremental block-coordinate descent for decentralized machine learning

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Modular Federated Learning: A Meta-Framework Perspective Revisiting Distributed Synchronous SGD

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Modular Federated Learning: A Meta-Framework Perspective Feddual: Pair-wise gossip helps federated learning in large decentralized networks

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This paper cites A simple framework for contrastive learning of visual representations, in: III, H.D., Singh, A.

Modular Federated Learning: A Meta-Framework Perspective A simple framework for contrastive learning of visual representations, in: III, H.D., Singh, A

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Modular Federated Learning: A Meta-Framework Perspective Distributedstatisticalmachinelearninginadversarialsettings:Byzantinegradientdescent

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This paper cites TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards.

Modular Federated Learning: A Meta-Framework Perspective TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards

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Modular Federated Learning: A Meta-Framework Perspective Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

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This paper cites Exploiting shared representations for personalized federated learning, in: Meila, M., Zhang, T.

Modular Federated Learning: A Meta-Framework Perspective Exploiting shared representations for personalized federated learning, in: Meila, M., Zhang, T

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This paper cites Randprox: Primal-dual optimization algorithms with randomized proximal updates, in: The Eleventh International Conference on Learning Representations.

Modular Federated Learning: A Meta-Framework Perspective Randprox: Primal-dual optimization algorithms with randomized proximal updates, in: The Eleventh International Conference on Learning Representations

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Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

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This paper cites tinygrad.https://github.com/tinygrad/tinygrad.

Modular Federated Learning: A Meta-Framework Perspective tinygrad.https://github.com/tinygrad/tinygrad

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Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

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This paper cites Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.

Modular Federated Learning: A Meta-Framework Perspective Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications

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Observation 8a7edc4f-88ab-4b19-a4c6-6da3ea0d2d46 · outbound

This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Modular Federated Learning: A Meta-Framework Perspective CINIC-10 is not ImageNet or CIFAR-10

Reference 61

Resolution: malformed identifier; no resolver link, observed 2026-08-15T21:53:22.356265Z

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Observation ea925dfd-f39f-4112-bbeb-b41341db5903 · outbound

This paper cites Faster non-convex federated learning via global and local momentum, in: Uncertainty in Artificial Intelligence, PMLR.

Modular Federated Learning: A Meta-Framework Perspective Faster non-convex federated learning via global and local momentum, in: Uncertainty in Artificial Intelligence, PMLR

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.361445Z

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Observation 51cd154c-98ad-4f82-95f8-12487e07cedf · outbound

This paper cites Saga: A fast incremental gradient method with support for non-strongly convex composite objectives.

Modular Federated Learning: A Meta-Framework Perspective Saga: A fast incremental gradient method with support for non-strongly convex composite objectives

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.365891Z

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Observation 91d52a08-b132-4283-b615-0d0296fe2d74 · outbound

This paper cites Reaching a consensus.

Modular Federated Learning: A Meta-Framework Perspective Reaching a consensus

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.371025Z

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Observation 43455e4a-8a35-438d-94b7-57afb479317a · outbound

This paper cites From distributed machine to distributed deep learning: a comprehensive survey.

Modular Federated Learning: A Meta-Framework Perspective From distributed machine to distributed deep learning: a comprehensive survey

Reference 65

Resolution: verified exact; doi, observed 2026-08-15T21:53:24.630028Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1db7eef0-b4d0-4cd8-b9ec-297c4be0904b · outbound

This paper cites Multiplediseasesandpestsdetectionbasedonfederatedlearningandimprovedfaster r-cnn.

Modular Federated Learning: A Meta-Framework Perspective Multiplediseasesandpestsdetectionbasedonfederatedlearningandimprovedfaster r-cnn

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.382369Z

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Observation 0294f456-397a-4e83-8583-fb410c238e27 · outbound

This paper cites Imagenet: A large-scale hierarchical image database, in: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.

Modular Federated Learning: A Meta-Framework Perspective Imagenet: A large-scale hierarchical image database, in: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.387439Z

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Observation 890d525c-5e82-4994-93a8-7295cbe61535 · outbound

This paper cites A friendly, non-technical introduction to differential privacy.https://desfontain.es/privacy/ friendly-intro-to-differential-privacy.html.

Modular Federated Learning: A Meta-Framework Perspective A friendly, non-technical introduction to differential privacy.https://desfontain.es/privacy/ friendly-intro-to-differential-privacy.html

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.396559Z

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Observation ea47d193-1b4f-4c95-84e5-5f6f79404950 · outbound

This paper cites Confidential computing on h100 gpus for secure and trustworthy ai.

Modular Federated Learning: A Meta-Framework Perspective Confidential computing on h100 gpus for secure and trustworthy ai

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.401731Z

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Observation f597a3d2-6fa9-490e-a686-373be02718a7 · outbound

This paper cites Onnx runtime.https://onnxruntime.ai/.

Modular Federated Learning: A Meta-Framework Perspective Onnx runtime.https://onnxruntime.ai/

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.406323Z

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Observation 8deb9d5f-8d35-4486-a502-1ff361518884 · outbound

This paper cites Leveraging Function Space Aggregation for Federated Learning at Scale.

Modular Federated Learning: A Meta-Framework Perspective Leveraging Function Space Aggregation for Federated Learning at Scale

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.410480Z

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Observation ee48e5ee-2c1f-4378-943f-3fe30f4ede31 · outbound

This paper cites Ant system: optimization by a colony of cooperating agents.

Modular Federated Learning: A Meta-Framework Perspective Ant system: optimization by a colony of cooperating agents

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.415978Z

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Observation 020acfc4-07f1-41e8-a419-893873f42d4f · outbound

This paper cites Dipaco: Distributed path composition.

Modular Federated Learning: A Meta-Framework Perspective Dipaco: Distributed path composition

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.421509Z

Source-reported events for the cited work

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Observation 437a5980-f397-4b6a-96f9-90cb733667cb · outbound

This paper cites The algorithmic foundations of differential privacy.

Modular Federated Learning: A Meta-Framework Perspective The algorithmic foundations of differential privacy

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.427049Z

Source-reported events for the cited work

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Observation 55f57138-9206-4c76-b8b3-9a040ce03bde · outbound

This paper cites Scalable federated machine learning with FEDn.

Modular Federated Learning: A Meta-Framework Perspective Scalable federated machine learning with FEDn

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.431513Z

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Observation 937d3375-7c44-4ad9-bb84-858cf5264fef · outbound

This paper cites Federatedlearningforwaterconsumptionforecastinginsmartcities,in:ICC 2023 - IEEE International Conference on Communications, pp.

Modular Federated Learning: A Meta-Framework Perspective Federatedlearningforwaterconsumptionforecastinginsmartcities,in:ICC 2023 - IEEE International Conference on Communications, pp

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.443621Z

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Observation 1cdae8dd-8598-4938-a50d-fa7d52245de8 · outbound

This paper cites Do you need a zero knowledge proof? Cryptology ePrint Archive.

Modular Federated Learning: A Meta-Framework Perspective Do you need a zero knowledge proof? Cryptology ePrint Archive

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.448749Z

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Observation e2a0f642-52d4-4c2f-842f-3bc5bdb0854f · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.454532Z

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Observation 40a55ad6-1487-410a-8fe9-acd09c9a29f3 · outbound

This paper cites Robustfederatedlearningwithnoisyandheterogeneousclients,in:2022IEEE/CVFConferenceonComputerVision and Pattern Recognition (CVPR), pp.

Modular Federated Learning: A Meta-Framework Perspective Robustfederatedlearningwithnoisyandheterogeneousclients,in:2022IEEE/CVFConferenceonComputerVision and Pattern Recognition (CVPR), pp

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.459024Z

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Observation af5661fb-5955-4974-ba25-b5174194a77e · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.463200Z

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Observation 2d7468dd-2938-430f-aff7-5681b6835512 · outbound

This paper cites Crowdfl: A marketplace for crowdsourced federated learning.

Modular Federated Learning: A Meta-Framework Perspective Crowdfl: A marketplace for crowdsourced federated learning

Reference 81

Resolution: verified exact; doi, observed 2026-08-15T21:53:24.574521Z

Source-reported events for the cited work

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Observation 86c1372b-9e9b-41a8-bc5f-3f02ad86e1c7 · outbound

This paper cites Fedmultimodal: A benchmark for multimodal federated learning, in: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

Modular Federated Learning: A Meta-Framework Perspective Fedmultimodal: A benchmark for multimodal federated learning, in: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.471897Z

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Observation ff22c989-e46e-47af-b245-e1d3d087fc48 · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.476128Z

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Observation 64daf905-b1c4-43f8-bf00-c7dc3433b343 · outbound

This paper cites A selective federated reinforcement learning strategy for autonomous driving.

Modular Federated Learning: A Meta-Framework Perspective A selective federated reinforcement learning strategy for autonomous driving

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.486901Z

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Observation f590d2ce-64a2-484b-8d0c-d4f009f64a8d · outbound

This paper cites Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning.

Modular Federated Learning: A Meta-Framework Perspective Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.491085Z

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Observation 61c57c38-ec45-4b9f-a345-4daab3a86356 · outbound

This paper cites P3: Distributed deep graph learning at scale, in: 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21), USENIX Association.

Modular Federated Learning: A Meta-Framework Perspective P3: Distributed deep graph learning at scale, in: 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21), USENIX Association

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.496614Z

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Observation 8433a41b-0f9b-4beb-a2c1-6dda5fe93451 · outbound

This paper cites Physical unclonable functions.

Modular Federated Learning: A Meta-Framework Perspective Physical unclonable functions

Reference 87

Resolution: verified exact; doi, observed 2026-08-15T21:53:24.408658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d2ed30d-1545-4743-9bd4-c0d75ac3a919 · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.504573Z

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Observation 0e4c4dd3-6e75-4f59-8102-199314b22bb3 · outbound

This paper cites zprobe: Zero peek robustness checks for federated learning, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Modular Federated Learning: A Meta-Framework Perspective zprobe: Zero peek robustness checks for federated learning, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.508597Z

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Observation f929ca6d-8ea0-445b-8bce-0d7e2941777e · outbound

This paper cites An efficient framework for clustered federated learning.

Modular Federated Learning: A Meta-Framework Perspective An efficient framework for clustered federated learning

Reference 90

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Observation d6a42854-f836-4e16-abf8-2ab598a31c7d · outbound

This paper cites On Alternating Direction Methods of Multipliers: A Historical Perspective.

Modular Federated Learning: A Meta-Framework Perspective On Alternating Direction Methods of Multipliers: A Historical Perspective

Reference 91

Resolution: verified exact; doi, observed 2026-08-15T21:53:24.330532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4716d00-5d6d-4157-ae8a-685af3540d5f · outbound

This paper cites Proofs that yield nothing but their validity and a methodology of cryptographic protocol design.AssociationforComputingMachinery,NewYork,NY,USA.

Modular Federated Learning: A Meta-Framework Perspective Proofs that yield nothing but their validity and a methodology of cryptographic protocol design.AssociationforComputingMachinery,NewYork,NY,USA

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.521660Z

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Observation 4303823f-c567-4f27-9b34-06ce9a94d0b0 · outbound

This paper cites tensorflow-federated.https://github.com/google-parfait/tensorflow-federated.

Modular Federated Learning: A Meta-Framework Perspective tensorflow-federated.https://github.com/google-parfait/tensorflow-federated

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.525748Z

Source-reported events for the cited work

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Observation 69a4d505-3c41-4a75-a749-35c31442ac66 · outbound

This paper cites differential-privacy.https://github.com/google/differential-privacy.

Modular Federated Learning: A Meta-Framework Perspective differential-privacy.https://github.com/google/differential-privacy

Reference 94

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Observation 12e4c021-b9a2-4ba0-97b7-a54274ee961b · outbound

This paper cites Litert.https://github.com/google-ai-edge/LiteRT.

Modular Federated Learning: A Meta-Framework Perspective Litert.https://github.com/google-ai-edge/LiteRT

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.535357Z

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Observation c41ff4ff-2fa1-4e5c-92ba-36dab30c0897 · outbound

This paper cites pfl: simulation framework for accelerating research in private federated learning.

Modular Federated Learning: A Meta-Framework Perspective pfl: simulation framework for accelerating research in private federated learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.539347Z

Source-reported events for the cited work

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Observation 31a14638-4dc0-4e1e-b27b-491fe9a48047 · outbound

This paper cites Seeing is believing: Towards interactive visual exploration of data privacy in federated learning.

Modular Federated Learning: A Meta-Framework Perspective Seeing is believing: Towards interactive visual exploration of data privacy in federated learning

Reference 97

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Source-reported events for the cited work

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Observation 94767989-dfe4-4c26-9c5b-e012d9f6f058 · outbound

This paper cites Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices.

Modular Federated Learning: A Meta-Framework Perspective Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.547366Z

Source-reported events for the cited work

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Observation d8e935fd-6a02-433e-a736-f106d826e07e · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.552168Z

Source-reported events for the cited work

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Observation ee7a6f7c-b531-46a0-aae1-24608c832589 · outbound

This paper cites Decentralized federated learning: A survey on security and privacy.

Modular Federated Learning: A Meta-Framework Perspective Decentralized federated learning: A survey on security and privacy

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.557360Z

Source-reported events for the cited work

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Observation d32b7a94-ce24-4885-abb7-a06200bd09d9 · outbound

This paper cites an unresolved cited work.

Modular Federated Learning: A Meta-Framework Perspective Unresolved cited work

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.561739Z

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