Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:50:09.401292Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2602.06838.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:50:09.401292Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7387d9eb-638b-48bc-b68e-77cdb90f6ed1 · outbound
An Adaptive Differentially Private Federated Learning Framework Cellular traffic prediction via byzantine- robust asynchronous federated learning,
Reference 1
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Observation 790243bb-bf65-484d-a681-a2c66e1de137 · outbound
An Adaptive Differentially Private Federated Learning Framework Image classification using federated learning,
Reference 2
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Unavailable: canonical work link unavailable.
Observation 95da676e-173d-4d3a-a6f5-bbd8c5b3b8b0 · outbound
An Adaptive Differentially Private Federated Learning Framework Enhancing medical image classification via federated learning and pre-trained model,
Reference 3
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Unavailable: canonical work link unavailable.
Observation ca661e90-5447-477a-ae42-d19c15756d73 · outbound
An Adaptive Differentially Private Federated Learning Framework FGS-FL: Enhancing federated learning with differential privacy via flat gradient stream,
Reference 4
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Unavailable: canonical work link unavailable.
Observation d47e7db8-fdf4-4db8-933a-f7b5bc6078e7 · outbound
An Adaptive Differentially Private Federated Learning Framework Federated semi-supervised medical image classification via inter-client relation matching,
Reference 5
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Unavailable: canonical work link unavailable.
Observation 15592a0f-9b23-4b2e-b33c-cdbe7c6c6ede · outbound
An Adaptive Differentially Private Federated Learning Framework Uldp-FL: Federated learning with across-silo user-level differential privacy,
Reference 6
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Unavailable: canonical work link unavailable.
Observation 8f20d7a9-4316-44b4-9575-dafda53fe1bd · outbound
An Adaptive Differentially Private Federated Learning Framework Dyn-D2P: Dynamic decentralized differential privacy for peer-to-peer federated learning,
Reference 7
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Unavailable: canonical work link unavailable.
Observation b8653961-69e9-4d12-84d8-58809f363d1c · outbound
An Adaptive Differentially Private Federated Learning Framework Toward the flatter landscape and better generalization in federated learning under client-level differ- ential privacy,
Reference 8
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Unavailable: canonical work link unavailable.
Observation f521b761-95de-457d-8ec7-0bb122919b85 · outbound
An Adaptive Differentially Private Federated Learning Framework One-shot empirical privacy estimation for federated learning,
Reference 9
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Unavailable: canonical work link unavailable.
Observation 32556e75-868c-4b42-a4a3-187d26e88f34 · outbound
An Adaptive Differentially Private Federated Learning Framework Asynchronous decentralized federated anomaly detection for 6G networks,
Reference 10
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Unavailable: canonical work link unavailable.
Observation 1ed85561-e5f1-4a13-a242-023909b15fa5 · outbound
An Adaptive Differentially Private Federated Learning Framework Belt and braces: When federated learning meets differential privacy,
Reference 11
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Unavailable: canonical work link unavailable.
Observation 52ed07b8-4cf7-47b3-ad69-1311d76ff0b4 · outbound
An Adaptive Differentially Private Federated Learning Framework Siren ++: Robust federated learning with proactive alarming and differential privacy,
Reference 12
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Unavailable: canonical work link unavailable.
Observation 82393375-ff9d-40a4-aa0d-1141467babe3 · outbound
An Adaptive Differentially Private Federated Learning Framework CAMEL: Communication-efficient and maliciously secure federated learning in the shuffle model of differential privacy,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e247b6e-5190-49a1-b979-691a20c33dc7 · outbound
An Adaptive Differentially Private Federated Learning Framework Noise-aware algorithm for heterogeneous differentially private federated learning,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39ad4457-193f-45de-9572-1a476c05829c · outbound
An Adaptive Differentially Private Federated Learning Framework Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81cf1190-e101-4b55-aaf7-8b137fec1718 · outbound
An Adaptive Differentially Private Federated Learning Framework Harnessing sparsification in federated learning: A secure, efficient, and differentially private realization,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e02d0716-0720-4028-8b0a-0bdea981037d · outbound
An Adaptive Differentially Private Federated Learning Framework Efficient federated learning privacy preservation method with heterogeneous differential privacy,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 429dbc70-a947-47a3-9007-60ce8889df0d · outbound
An Adaptive Differentially Private Federated Learning Framework Differentially private fed- erated learning with time-adaptive privacy spending,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 33bd615c-d803-4dc3-ada2-d14de84fd3d1 · outbound
An Adaptive Differentially Private Federated Learning Framework Privacy-preserving federated learning for industrial edge computing via hybrid differential privacy and adaptive compression,
Reference 19
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Unavailable: canonical work link unavailable.
Observation cd933790-498d-417d-8076-f1b6e10859c1 · outbound
An Adaptive Differentially Private Federated Learning Framework Local differential privacy feder- ated learning based on heterogeneous data multi-privacy mechanism,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 49ad84a0-654f-4003-ab12-697623c9f958 · outbound
An Adaptive Differentially Private Federated Learning Framework DP-PSAC-FL: Differentially private federated learning based on per-sample adaptive clipping and layer- wise gradient perturbation,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 950b792f-b382-40ef-af3d-6ca48b9f4de2 · outbound
An Adaptive Differentially Private Federated Learning Framework Towards the robustness of dif- ferentially private federated learning,
Reference 22
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Unavailable: canonical work link unavailable.
Observation c787abaa-ffc4-4099-9428-b7e66d19b242 · outbound
An Adaptive Differentially Private Federated Learning Framework Dynamic sparse training with structured sparsity,
Reference 23
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Unavailable: canonical work link unavailable.
Observation ce16e84c-79c6-4adf-8369-73e3f28ccc49 · outbound
An Adaptive Differentially Private Federated Learning Framework An improved analysis of per- sample and per-update clipping in federated learning,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 0f905731-2457-4b41-b7fb-4cf85db38be1 · outbound
An Adaptive Differentially Private Federated Learning Framework Adaptive clipping for differential private federated learning in interpolation regimes,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 213bcdfe-a834-4934-91c3-af1ec409b0ae · outbound
An Adaptive Differentially Private Federated Learning Framework Exponential moving average of weights in deep learning: Dynamics and benefits,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 59e71677-0701-491c-9ace-7b888c05318c · outbound
An Adaptive Differentially Private Federated Learning Framework Distributed distributionally robust optimization with non-convex objectives,
Reference 27
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Unavailable: canonical work link unavailable.
Observation c4d85b92-8a28-45cb-96e6-ecb21a19dee5 · outbound
An Adaptive Differentially Private Federated Learning Framework Understanding global ag- gregation and optimization of federated learning,
Reference 28
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Unavailable: canonical work link unavailable.
Observation 0527c60d-6b99-4ff7-b1ed-c1ebf98d8fe6 · outbound
An Adaptive Differentially Private Federated Learning Framework Self-adaptive asynchronous federated optimizer with adversarial sharpness-aware minimization,
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9452bbc-3139-4fb7-8b94-7a797e8f52f7 · outbound
An Adaptive Differentially Private Federated Learning Framework Differentially private federated learning with an adaptive noise mechanism,
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0286cad9-a0e7-4b14-bff8-7679db4d75de · outbound
An Adaptive Differentially Private Federated Learning Framework Differentially private federated learning on Non-IID data: Convergence analysis and adaptive opti- mization,
Reference 31
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Unavailable: canonical work link unavailable.
Observation b353b11e-0355-488e-9b87-3fd871287a03 · outbound
An Adaptive Differentially Private Federated Learning Framework A lightweight differentially private federated learning framework for edge intelligence,
Reference 32
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.