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Paper Citation Record · LEDGER

FedTLU: Federated Learning with Targeted Layer Updates

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.17692.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.17692 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:21:01.226786Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ea293d5-3064-4963-9c7d-f64a33e80047 · outbound

This paper cites Attention is all you need,.

FedTLU: Federated Learning with Targeted Layer Updates Attention is all you need,

Reference 1

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Observation ad6955a5-3706-4ede-bd49-6aa7be9e6fd7 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

FedTLU: Federated Learning with Targeted Layer Updates BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation 4ad83b49-d01a-4e86-aca7-9862d5b42015 · outbound

This paper cites Language models are unsupervised multitask learners,.

FedTLU: Federated Learning with Targeted Layer Updates Language models are unsupervised multitask learners,

Reference 3

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Observation 4be2accf-d049-4b78-a432-5a78dc66a27a · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

FedTLU: Federated Learning with Targeted Layer Updates A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 4

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Observation d71298e8-19b9-4395-9ba4-70060a9dfb00 · outbound

This paper cites Fedmed: A federated learning framework for language modeling,.

FedTLU: Federated Learning with Targeted Layer Updates Fedmed: A federated learning framework for language modeling,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 49461bb5-4ef1-46f2-8323-6a3916ce447c · outbound

This paper cites Scaling federated learning for fine-tuning of large language models,.

FedTLU: Federated Learning with Targeted Layer Updates Scaling federated learning for fine-tuning of large language models,

Reference 6

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 16c65c3d-e367-4122-bf78-8bd20390fbeb · outbound

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

FedTLU: Federated Learning with Targeted Layer Updates Communication-efficient learning of deep networks from decentralized data,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 99368972-e97b-4414-9844-e0dc3c420f24 · outbound

This paper cites Federated optimization in heterogeneous networks,.

FedTLU: Federated Learning with Targeted Layer Updates Federated optimization in heterogeneous networks,

Reference 8

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Observation 53d741dd-8c4e-4ca4-98b2-e4fde0f375af · outbound

This paper cites Preserving data privacy via fed- erated learning: Challenges and solutions,.

FedTLU: Federated Learning with Targeted Layer Updates Preserving data privacy via fed- erated learning: Challenges and solutions,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a7a8f9c7-159f-4e33-8877-961f156aeb00 · outbound

This paper cites Federated analytics: Opportunities and challenges,.

FedTLU: Federated Learning with Targeted Layer Updates Federated analytics: Opportunities and challenges,

Reference 10

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3619617d-fa2a-471d-9553-fc34ea43cace · outbound

This paper cites Generalized federated learning via sharpness aware minimization,.

FedTLU: Federated Learning with Targeted Layer Updates Generalized federated learning via sharpness aware minimization,

Reference 11

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5377106d-a060-4166-8ac6-33b3ae7b2902 · outbound

This paper cites A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,.

FedTLU: Federated Learning with Targeted Layer Updates A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 33a4f534-0580-4c0a-b4a7-050af225f580 · outbound

This paper cites Internet of things intrusion detection: Centralized, on-device, or federated learning?.

FedTLU: Federated Learning with Targeted Layer Updates Internet of things intrusion detection: Centralized, on-device, or federated learning?

Reference 13

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 35c6df37-473d-403e-a56c-8977b72b5b8a · outbound

This paper cites Higher order naive bayes: A novel non-iid approach to text classification,.

FedTLU: Federated Learning with Targeted Layer Updates Higher order naive bayes: A novel non-iid approach to text classification,

Reference 14

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation eb3229da-819b-4cef-995d-5d8f1f4aa4f5 · outbound

This paper cites Beyond iid: Non-iid thinking, informatics, and learning,.

FedTLU: Federated Learning with Targeted Layer Updates Beyond iid: Non-iid thinking, informatics, and learning,

Reference 15

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3199b399-cc3a-44e3-b5c7-5aa66895407f · outbound

This paper cites Fedbiot: Llm local fine-tuning in federated learning without full model,.

FedTLU: Federated Learning with Targeted Layer Updates Fedbiot: Llm local fine-tuning in federated learning without full model,

Reference 16

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Observation b009bc3e-416f-4003-94ed-e26589bd49c5 · outbound

This paper cites Momentum-based variance reduction in non-convex sgd,.

FedTLU: Federated Learning with Targeted Layer Updates Momentum-based variance reduction in non-convex sgd,

Reference 17

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6db78364-5105-410e-a64f-acdbc7f62461 · outbound

This paper cites Federated learning with proximal stochastic variance reduced gradient algorithms,.

FedTLU: Federated Learning with Targeted Layer Updates Federated learning with proximal stochastic variance reduced gradient algorithms,

Reference 18

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Observation e62158d9-e90f-4171-9191-4caafc5b9db0 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,.

FedTLU: Federated Learning with Targeted Layer Updates Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,

Reference 19

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Observation 7512b539-943f-4de1-8d4c-58e201a4aa47 · outbound

This paper cites Sensitivity-aware visual parameter-efficient fine-tuning,.

FedTLU: Federated Learning with Targeted Layer Updates Sensitivity-aware visual parameter-efficient fine-tuning,

Reference 20

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Observation 9788690d-6f03-41d8-a949-a301b735c46d · outbound

This paper cites Ditto: Fair and robust federated learning through personalization,.

FedTLU: Federated Learning with Targeted Layer Updates Ditto: Fair and robust federated learning through personalization,

Reference 21

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0d834a56-7ebd-469c-8ff6-7dfb625a75cf · outbound

This paper cites Towards personalized federated learning,.

FedTLU: Federated Learning with Targeted Layer Updates Towards personalized federated learning,

Reference 22

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Observation a443e960-a5c3-47b7-9b34-24041f0f1340 · outbound

This paper cites Personalization improves privacy-accuracy tradeoffs in federated learning,.

FedTLU: Federated Learning with Targeted Layer Updates Personalization improves privacy-accuracy tradeoffs in federated learning,

Reference 23

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a861da1-94ba-4e0e-b563-e2cab835f419 · outbound

This paper cites Local learning matters: Rethinking data heterogeneity in federated learning,.

FedTLU: Federated Learning with Targeted Layer Updates Local learning matters: Rethinking data heterogeneity in federated learning,

Reference 24

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 04770ebe-0b9d-4208-950f-c961b5f31c60 · outbound

This paper cites Heterogeneous federated learning: State-of-the-art and research challenges,.

FedTLU: Federated Learning with Targeted Layer Updates Heterogeneous federated learning: State-of-the-art and research challenges,

Reference 25

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source=pdf_text observed=2026-08-11T05:21:01.137949Z digest=sha256:e60cb3a4a3a00f280ad8ea6dff28477c47b55a80735074ff3c0714a636efc761

Observation 50a07ce3-f86c-4591-aee4-e08fd013578f · outbound

This paper cites FedBaF: Federated Learning Aggregation Biased by a Foundation Model.

FedTLU: Federated Learning with Targeted Layer Updates FedBaF: Federated Learning Aggregation Biased by a Foundation Model

Reference 26

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local_arxiv, observed 2026-08-11T05:21:01.293144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9d5a07c5-2e93-41e2-ae2b-3c60a9315306 · outbound

This paper cites Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives,.

FedTLU: Federated Learning with Targeted Layer Updates Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives,

Reference 27

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7841d7d1-6d5b-4d06-a676-a513fb233032 · outbound

This paper cites Robust federated learning with noisy and het- erogeneous clients,.

FedTLU: Federated Learning with Targeted Layer Updates Robust federated learning with noisy and het- erogeneous clients,

Reference 28

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7f7e8b7b-1f83-44b5-ab1b-e872ee7fe97b · outbound

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

FedTLU: Federated Learning with Targeted Layer Updates Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 98b0feb1-f28d-46ee-94cf-d94d19d06646 · outbound

This paper cites Improved dropout for shallow and deep learning,.

FedTLU: Federated Learning with Targeted Layer Updates Improved dropout for shallow and deep learning,

Reference 30

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0701ff1d-3b46-4639-876a-fc888c7131c3 · outbound

This paper cites Random cnn structure: tool to increase generalization ability in deep learning,.

FedTLU: Federated Learning with Targeted Layer Updates Random cnn structure: tool to increase generalization ability in deep learning,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.163238Z digest=sha256:09553a714ef929b9b49204376a5494cf21f6e2c942aeb1f1dab57a6f6c8cc7c2

Observation 9ba035fc-8bcb-4fa7-bd5e-6d4124b27334 · outbound

This paper cites Layerout: Freezing layers in deep neural networks,.

FedTLU: Federated Learning with Targeted Layer Updates Layerout: Freezing layers in deep neural networks,

Reference 32

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raw_fallback, observed 2026-08-11T05:21:01.482993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.168452Z digest=sha256:79de9bf03e879414a4f7b054e934d4a1a0199bfdc0fe3b1401650cc6c5ddedb5

Observation 360fcef8-e0a8-4ecb-9222-cf7e53ff96cf · outbound

This paper cites Transfusion: Un- derstanding transfer learning for medical imaging,.

FedTLU: Federated Learning with Targeted Layer Updates Transfusion: Un- derstanding transfer learning for medical imaging,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.173160Z digest=sha256:ef7ff62982b06a3ea27cf8819ec71b5de4ad3de9255f174ba8beee56d0be2266

Observation 35675d9b-ff78-4c81-98e4-4f6c65ae2c89 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

FedTLU: Federated Learning with Targeted Layer Updates Parameter-efficient transfer learning for nlp,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.177530Z digest=sha256:35c3e4546a65e41b0881588eedf29ce8d6533bb734da393d3ce9cd6dcd4a565f

Observation d53ea8b7-f4fd-4259-85dc-7bbcbeebc9ca · outbound

This paper cites Differentially Private Fine-tuning of Language Models.

FedTLU: Federated Learning with Targeted Layer Updates Differentially Private Fine-tuning of Language Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.181635Z digest=sha256:68bf5d0efbb8cf13b59eb4a8d0da6c7cae7101a950d7ee84127699b51ece0c1e

Observation 7f88d4c6-4749-4c06-b164-6bf255f4d9fd · outbound

This paper cites Sensitivity and Generalization in Neural Networks: an Empirical Study.

FedTLU: Federated Learning with Targeted Layer Updates Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 36

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no resolver link, observed 2026-08-11T05:21:01.185873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.185873Z digest=sha256:85fafb2335be274167cd644326e168a75201cf435f243d8520672cf70b180d7a

Observation a3a51381-d6e1-4629-9fea-537819f943d8 · outbound

This paper cites Corrnet: pearson correlation based pruning for efficient convolutional neural networks,.

FedTLU: Federated Learning with Targeted Layer Updates Corrnet: pearson correlation based pruning for efficient convolutional neural networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.448464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation da46f13a-6591-488e-8b3a-b4c49aebba20 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

FedTLU: Federated Learning with Targeted Layer Updates Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.431300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 56955728-a425-4d17-8625-1c7ff49100cf · outbound

This paper cites Advances and open problems in federated learning,.

FedTLU: Federated Learning with Targeted Layer Updates Advances and open problems in federated learning,

Reference 39

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no resolver link, observed 2026-08-11T05:21:01.198658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.198658Z digest=sha256:b5785fd9e9057c78257d1338f4dc3b278e6d0a985ccb2870f17880631fd476ee

Observation 9b84a40c-d43b-47de-b6e1-a55c7cdd514a · outbound

This paper cites Fedbert: When federated learning meets pre-training,.

FedTLU: Federated Learning with Targeted Layer Updates Fedbert: When federated learning meets pre-training,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.406977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 688ab783-b0c0-4165-b5df-19b5e6f88325 · outbound

This paper cites Federated learning on non-iid data: A survey,.

FedTLU: Federated Learning with Targeted Layer Updates Federated learning on non-iid data: A survey,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T05:21:01.206690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.206690Z digest=sha256:587459ea0664fefb82c8a8ddd877bcd3c0e10ec018160e7c24e81fd0d965f47e

Observation 5acfd00d-2ef6-4fdc-99ab-0446a5489370 · outbound

This paper cites Federated multi-task learning,.

FedTLU: Federated Learning with Targeted Layer Updates Federated multi-task learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.381864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.210794Z digest=sha256:b3adf47fd9f4035730cd79653b947c8a8de88b24fe3046d44a0b6fcf415dc1a2

Observation 724bd775-64be-4b96-a20d-d20f63dfc100 · outbound

This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy con- straints,.

FedTLU: Federated Learning with Targeted Layer Updates Clustered federated learning: Model-agnostic distributed multitask optimization under privacy con- straints,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T05:21:01.214730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:21:01.214730Z digest=sha256:ba2f65f2a18b983f61183ea1b0597233e2584815397ac49b49553b38fb95b402

Observation 5dc125c7-620c-4d14-a70e-e1cd58fae4a5 · outbound

This paper cites On the importance of single directions for generalization,.

FedTLU: Federated Learning with Targeted Layer Updates On the importance of single directions for generalization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.357326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.218755Z digest=sha256:9fd82f5baea9452dd35f1e49e362bc7f2565ed7af2671fa95af3b8bc1aba1dbd

Observation 41c04659-497a-40e4-83ba-eb915a5857f4 · outbound

This paper cites On the convergence of fedavg on non-iid data,.

FedTLU: Federated Learning with Targeted Layer Updates On the convergence of fedavg on non-iid data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.340874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.222899Z digest=sha256:83a9dc2070468a3e18facf640f0b44db53e9aac6ff8b0b6fd1b0e86baaede7cf

Observation 8a5488a4-2b6d-45a5-8846-83dfcf29b930 · outbound

This paper cites Zico: Zero-shot nas via inverse coefficient of variation on gradients,.

FedTLU: Federated Learning with Targeted Layer Updates Zico: Zero-shot nas via inverse coefficient of variation on gradients,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:21:01.324172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:21:01.226786Z digest=sha256:b8c992571495d7d85d109728673ce893b060b58cc117f3557db825b9fcc54c2e

Pith citing papers

No inbound Pith citation observations are available.