Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:20:19.665505Z
Paper Citation Record · LEDGER
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation
As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.00872.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
45 of 45 outbound references displayed
- verified exact5
- verified fuzzy31
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5c33029c-f652-4965-9706-cc844151cb9b · outbound
This paper cites Machine learning for medical imaging: Methodological failures and recommendations for the future,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Machine learning for medical imaging: Methodological failures and recommendations for the future,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.307421Z
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 49de4550-2b54-4446-9d28-54caa6249b7e · outbound
This paper cites Federated learning in medicine: Facilitating multi-institutional collaborations without sharing patient data,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Federated learning in medicine: Facilitating multi-institutional collaborations without sharing patient data,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.294880Z
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 4acfe611-ffe2-4a73-b674-f2a2c55259a1 · outbound
This paper cites Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.281905Z
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 ca9696b7-32ee-4969-9e25-39cda7974cd9 · outbound
This paper cites Hipaa legislation means more delicate handling of data,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Hipaa legislation means more delicate handling of data,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.269490Z
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 755a64d0-f8b0-41fc-9c82-29b2a7a9277a · outbound
This paper cites Finnish perspective on using synthetic health data to protect privacy: The privasa project,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Finnish perspective on using synthetic health data to protect privacy: The privasa project,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.257210Z
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 e5d594d6-eab3-450e-b9e3-e5ad1a36c31f · outbound
This paper cites Federated learning: A collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Federated learning: A collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.245546Z
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 efaa4a60-594a-438a-a968-b7d00e5cd3f5 · outbound
This paper cites Communication-efficient learning of deep networks from decentralized data,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Communication-efficient learning of deep networks from decentralized data,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.233427Z
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 430f4384-6366-4a09-8c0d-0af98550c099 · outbound
This paper cites Federated Learning with Matched Averaging.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Federated Learning with Matched Averaging
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.515849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebedf051-c943-40a5-b503-8a0e76e3e41c · outbound
This paper cites Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:20:19.893549Z
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 e259250f-1402-4152-ae55-198418447b2a · outbound
This paper cites Federated Learning with Non-IID Data.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Federated Learning with Non-IID Data
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.524807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e368d0c2-ae50-4911-bd85-27e1a9b6b6af · outbound
This paper cites Advances and open problems in federated learning,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Advances and open problems in federated learning,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.221273Z
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 1ed2f215-8fc7-4a7d-aba0-126778973cb8 · outbound
This paper cites SCAFFOLD: Stochastic controlled averaging for federated learning,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation SCAFFOLD: Stochastic controlled averaging for federated learning,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.209160Z
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 21b60cd9-a31d-47c3-b3f5-a7ffe8aef171 · outbound
This paper cites Inverting Gradients -- How easy is it to break privacy in federated learning?.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Inverting Gradients -- How easy is it to break privacy in federated learning?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.537986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 206da84c-f0cc-4881-961f-79470a0f77a0 · outbound
This paper cites Membership Inference Attacks against Machine Learning Models.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Membership Inference Attacks against Machine Learning Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.542538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37ee1fe2-b624-41f1-9e17-ecc7fcdd3204 · outbound
This paper cites Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:20:19.841879Z
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 c65e2c0e-1607-4ad5-a8bd-222e201ec252 · outbound
This paper cites Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.551025Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 302fff22-437e-4c8e-a46d-b55c8e0b3a30 · outbound
This paper cites Adap- tive weight aggregation in federated learning for brain tumor segmentation,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Adap- tive weight aggregation in federated learning for brain tumor segmentation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.189798Z
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 440d4eae-e70b-4d42-acc5-46b9aa7ead9b · outbound
This paper cites Towards fair decentralized benchmarking of healthcare AI algorithms with the federated tumor segmentation (FeTS) challenge,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Towards fair decentralized benchmarking of healthcare AI algorithms with the federated tumor segmentation (FeTS) challenge,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.178011Z
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 b7bcdf4c-7f1a-45cb-96c5-b928b967584f · outbound
This paper cites The MICCAI federated tumor segmentation (FeTS) challenge 2024: Efficient and robust aggregation methods,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation The MICCAI federated tumor segmentation (FeTS) challenge 2024: Efficient and robust aggregation methods,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.165625Z
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 eeb93644-4927-41e4-a4e1-e3e0935de6f8 · outbound
This paper cites Openfl: An open-source framework for federated learning,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Openfl: An open-source framework for federated learning,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.153899Z
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 6bade2e6-fcec-497e-95a0-8c277d37d710 · outbound
This paper cites Federated optimization in heterogeneous networks,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Federated optimization in heterogeneous networks,
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.570833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41ff3fd0-250d-4e08-8959-8278193471cf · outbound
This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Tackling the objective inconsistency problem in heterogeneous federated optimization,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.134757Z
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 2a032057-3326-47bc-8ce3-52f1192cf3a9 · outbound
This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Machine learning with adversaries: Byzantine tolerant gradient descent,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.123474Z
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 39eb1133-9bb1-44b2-b4fc-2c5144d9bb68 · outbound
This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Byzantine-robust distributed learning: Towards optimal statistical rates,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.111733Z
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 22fb0d82-6e39-422b-aeb0-83a8d335a82a · outbound
This paper cites Adap- tive weight aggregation in federated learning for brain tumor segmentation,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Adap- tive weight aggregation in federated learning for brain tumor segmentation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.100150Z
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 8d41719f-2902-4cb3-b293-842b6cd8714b · outbound
This paper cites Differential privacy,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Differential privacy,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.087369Z
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 45eebd6e-f6d0-4daa-81eb-bf78ef07faf8 · outbound
This paper cites The algorithmic foundations of differential privacy,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation The algorithmic foundations of differential privacy,
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.593245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98749908-8686-4339-81d5-471e38b05bec · outbound
This paper cites A firm foundation for private data analysis,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation A firm foundation for private data analysis,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.068287Z
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 fe66eb2b-a2a9-4edd-8f61-f2aa93762f69 · outbound
This paper cites Deep learning with differential privacy,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Deep learning with differential privacy,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.055518Z
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 9a0909ac-6bc0-4dd0-91cd-54a913ef6125 · outbound
This paper cites Differentially private federated learning: A client level perspective,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Differentially private federated learning: A client level perspective,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.043548Z
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 a8439e03-9baa-4f04-9106-7c226a76afb7 · outbound
This paper cites Gaussian Differential Privacy.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Gaussian Differential Privacy
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.608979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dd69598-23be-426a-a5e2-374cd39e5ef1 · outbound
This paper cites Rényi differential privacy,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Rényi differential privacy,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.031704Z
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 252146ce-e4b3-44fb-87eb-83b06bdad426 · outbound
This paper cites Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:20:19.812994Z
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 4dec2255-d085-471e-b8da-c3830f9d7cd6 · outbound
This paper cites Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:20:19.795045Z
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 de69b78c-f54c-4d54-9ef9-16f8b28eb2de · outbound
This paper cites Secure, privacy-preserving and federated machine learning in medical imaging,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Secure, privacy-preserving and federated machine learning in medical imaging,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.019907Z
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 fecc3c70-7d03-4798-9995-68ab11d12883 · outbound
This paper cites signsgd: Compressed optimisation for non-convex problems,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation signsgd: Compressed optimisation for non-convex problems,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:20.007548Z
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 6225d3d2-4184-4855-9872-ef9f46f41f02 · outbound
This paper cites Noisy signsgd is more differentially private than you (might) think,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Noisy signsgd is more differentially private than you (might) think,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.995668Z
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 693795dd-c6fe-4f4b-903f-a81d8bafcafa · outbound
This paper cites Biomedical image analysis competitions: The state of current participation practice,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Biomedical image analysis competitions: The state of current participation practice,
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:20:19.637219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40b6ea73-49db-479c-b8d0-7a0748b1ad6b · outbound
This paper cites The new WHO classification of brain tumours,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation The new WHO classification of brain tumours,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.983315Z
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 1b39c814-097c-4c83-8781-cff0f7290842 · outbound
This paper cites Glioblastoma multiforme: A review of its epidemiology and pathogenesis through clinical presentation and treatment,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Glioblastoma multiforme: A review of its epidemiology and pathogenesis through clinical presentation and treatment,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.970723Z
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 6d7af48d-705f-4b4f-ab7b-1b48cb57ec87 · outbound
This paper cites Segmentation labels for the pre-operative scans of the TCGA-GBM collection,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Segmentation labels for the pre-operative scans of the TCGA-GBM collection,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.959130Z
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 3beba1a9-7f6a-4c86-b965-d46ce621cdaf · outbound
This paper cites Segmentation labels for the pre-operative scans of the TCGA-LGG collection,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation Segmentation labels for the pre-operative scans of the TCGA-LGG collection,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.946847Z
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 8d807d6d-86aa-4852-a98c-2a7cfb083e63 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation U-net: Convolutional networks for biomedical image segmentation,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.934740Z
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 7594e6b7-4450-4605-80aa-ad45aa220199 · outbound
This paper cites The federated tumor segmentation (FeTS) challenge 2022,.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation The federated tumor segmentation (FeTS) challenge 2022,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:20:19.921954Z
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 6cf8304a-ae7d-4052-9bfb-514822d8ed41 · outbound
This paper cites PrivacyFL: A simulator for privacy-preserving and secure federated learning.
Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation PrivacyFL: A simulator for privacy-preserving and secure federated learning
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:20:19.708951Z
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.
Pith citing papers
No inbound Pith citation observations are available.