Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:26:33.603945Z
Paper Citation Record · LEDGER
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing
As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.04940.
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 2026-08-15T06:32:42.880941+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
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy26
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 10bff517-85d4-47fa-9000-7252d2df2673 · outbound
This paper cites No free lunch theorem for security and utility in federated learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing No free lunch theorem for security and utility in federated learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.171274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 512ae735-c199-4811-8e58-29d8a38605f9 · outbound
This paper cites Untargeted poisoning attack detection in federated learning via behavior attestation.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Untargeted poisoning attack detection in federated learning via behavior attestation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.083991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 37afebe4-7446-4f7a-803c-c7f725f9580c · outbound
This paper cites Communication efficient and differentially private logistic regression under the distributed setting.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Communication efficient and differentially private logistic regression under the distributed setting
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.068477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dda510cd-4933-4138-9882-d337bbbfaa6e · outbound
This paper cites Trading off privacy, utility, and efficiency in federated learning.ACM Transactions on Intelligent Systems and Technology, 14(6):1–32,.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Trading off privacy, utility, and efficiency in federated learning.ACM Transactions on Intelligent Systems and Technology, 14(6):1–32,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.050586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d99dd171-ddaa-4f4a-938a-c9ea10333768 · outbound
This paper cites Springer Nature,.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Springer Nature,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.032780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9643f7ea-24d2-4efe-a060-aba9eaa8c0ea · outbound
This paper cites Differentially private filtering.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Differentially private filtering
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.999183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 75ec3236-fb0b-4f70-866a-90bdadf69409 · outbound
This paper cites On data distribution leakage in cross-silo federated learning.IEEE Transactions on Knowledge and Data Engineering,.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing On data distribution leakage in cross-silo federated learning.IEEE Transactions on Knowledge and Data Engineering,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.965581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2f826dca-0492-4dad-90da-4a0798f7bfce · outbound
This paper cites Practical secure aggregation for privacy-preserving machine learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Practical secure aggregation for privacy-preserving machine learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.945850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a07ff38-0508-451c-8370-ffec00cb1cd7 · outbound
This paper cites Privacy- preserving deep learning via additively homomorphic encryption.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Privacy- preserving deep learning via additively homomorphic encryption
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.904008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0cd8f1c9-54f4-4850-b22f-1c6b5ebaf155 · outbound
This paper cites Privacy-preserving federated deep learning with irregular users.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Privacy-preserving federated deep learning with irregular users
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.884563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c90ac13d-dec7-4134-997c-e87275cd7d8b · outbound
This paper cites Federated optimization in heterogeneous networks.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Federated optimization in heterogeneous networks
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.865238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3969e6e4-39d1-4dd8-b691-dbede8bb02bf · outbound
This paper cites Scaffold: Stochastic controlled averaging for federated learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Scaffold: Stochastic controlled averaging for federated learning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.844762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e899bc1-a2c6-4ace-84d3-7f0a4d8cc629 · outbound
This paper cites Tack- ling the objective inconsistency problem in heterogeneous federated optimization.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Tack- ling the objective inconsistency problem in heterogeneous federated optimization
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.826091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e37cddfa-f45c-4192-9c2a-c216cabc3f86 · outbound
This paper cites Topological structure in visual perception.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Topological structure in visual perception
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.807467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bf1ed095-84fc-4c5e-aa6c-0126e6f0e98a · outbound
This paper cites A fast adaptive k-means with no bounds.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing A fast adaptive k-means with no bounds
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.767879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df241004-dfdf-464e-b571-6a4248837381 · outbound
This paper cites An efficient and adaptive granular-ball generation method in classification problem.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing An efficient and adaptive granular-ball generation method in classification problem
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.743931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 480a329e-f281-4e13-9024-d717da93f584 · outbound
This paper cites Graph-based Representation for Image based on Granular-ball.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Graph-based Representation for Image based on Granular-ball
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:26:33.584289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bcf6e24-f26f-4d23-8c57-c58bb60eb446 · outbound
This paper cites Deep leakage from gradients.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Deep leakage from gradients
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.727104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c156c9d5-0880-4490-ab43-bbf9d7c63d0f · outbound
This paper cites Communication-efficient learning of deep networks from decentralized data.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Communication-efficient learning of deep networks from decentralized data
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.690941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5ae9f20c-517f-432a-ab3e-9c8a33b8793e · outbound
This paper cites LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:26:33.603945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 927ceac7-de79-4d14-948d-d6a8c52d4989 · outbound
This paper cites Dgcc: data-driven granular cognitive computing.Granular Computing, 2(4):343–355,.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Dgcc: data-driven granular cognitive computing.Granular Computing, 2(4):343–355,
Reference 1982
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.787241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a69f6d6-1ef8-4526-afbf-cbc2e15aaf6e · outbound
This paper cites Differentially private federated learning on non-iid data: Convergence analysis and adaptive optimization.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Differentially private federated learning on non-iid data: Convergence analysis and adaptive optimization
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.982696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a2f936c-c14a-4d89-9302-2f2765166fa9 · outbound
This paper cites Secure single-server aggregation with (poly) logarithmic overhead.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Secure single-server aggregation with (poly) logarithmic overhead
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.923241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a559a1c1-3fc4-48fd-920a-0a4acdab58d3 · outbound
This paper cites Granular ball computing classifiers for efficient, scalable and robust learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Granular ball computing classifiers for efficient, scalable and robust learning
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:33.709857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc870ffe-e472-432e-a34a-b8e07e7c19c5 · outbound
This paper cites A survey on differentially private machine learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing A survey on differentially private machine learning
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.015066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 999e4d87-482e-4601-9bd0-d8795abd34fb · outbound
This paper cites Feddefender: Client-side attack-tolerant federated learning.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Feddefender: Client-side attack-tolerant federated learning
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.149195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9307cebf-a1be-40e1-8b9c-d4f17e091ab9 · outbound
This paper cites Vertical federated learning: Concepts, advances, and challenges.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Vertical federated learning: Concepts, advances, and challenges
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.120382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b44d55dc-14d1-4a20-9b54-74d1e5b19c24 · outbound
This paper cites Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:26:34.103297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.