Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:35.436548Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2505.23588.
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 2026-08-07T12:45:35.436548Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
100 of 106 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7fab7cc0-541f-4cb5-8b81-c38f6b1e11f1 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Communication-Efficient Learning of Deep Networks from Decentralized Data
Reference 1
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Observation 772ec515-b0aa-47d4-b49f-91c7518ab075 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fedprox: Fedsplit algorithm based federated learning for statistical and system heterogeneity in medical data com- munication,
Reference 2
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Observation 137447d9-85a6-4c4c-849a-448299e90378 · outbound
Accelerated Training of Federated Learning via Second-Order Methods SCAFFOLD: stochastic controlled averaging for federated learning,
Reference 3
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Observation c8d13219-cf0e-4ae7-b216-7594f4491c9e · outbound
Accelerated Training of Federated Learning via Second-Order Methods Model-contrastive federated learning,
Reference 4
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Observation cf66b1b2-f313-467c-b006-99771aa64858 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning based on dynamic regulariza- tion,
Reference 5
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Observation dfdb5fa9-6ba7-41c4-815f-a2ef542d3d10 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Implicit gradient alignment in distributed and federated learning,
Reference 6
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Observation 69a7c94a-a817-4632-b7db-c51eb7d48bf7 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Handling data heterogeneity in federated learning with global data distribution
Reference 7
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Observation 6b8927cb-90f4-4b83-a582-3777385fe97c · outbound
Accelerated Training of Federated Learning via Second-Order Methods With a little help from my friend: Server-aided federated learning with partial client participation,
Reference 8
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Observation ed92cad2-92de-4f6e-872e-6fb942393d0b · outbound
Accelerated Training of Federated Learning via Second-Order Methods Achieving linear speedup with partial worker participation in non-iid federated learning,
Reference 9
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Observation b736af08-a385-4deb-b515-cabe3e975273 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fast federated learning in the presence of arbitrary device unavailability,
Reference 10
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Observation 93b9537c-66e3-415f-9a9e-fc4f0af449bc · outbound
Accelerated Training of Federated Learning via Second-Order Methods Anchor sampling for federated learning with partial client participation,
Reference 11
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Observation 4f054c2f-c954-4217-b616-72c75ab68794 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fedvarp: Tackling the variance due to partial client participation in federated learning,
Reference 12
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Observation 6ecbdfa4-b7c2-4fee-a572-3e0bf742cc51 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning with differential privacy: Algorithms and performance analysis,
Reference 13
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Observation e3a7a57e-adc9-46ed-8d1c-1543f53ad56d · outbound
Accelerated Training of Federated Learning via Second-Order Methods Ldp-fed: Federated learning with local differential privacy,
Reference 14
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Observation 3b5cd932-897a-4a6c-9695-4f1510a05874 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning and differential privacy for medical image analysis,
Reference 15
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Observation 67b4a4c0-f21e-451f-a57c-dd742ecea5f8 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning with bayesian differ- ential privacy,
Reference 16
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Observation dcb83a83-bf50-487a-88e6-2b8440bbc484 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Differential privacy meets federated learning under communication constraints,
Reference 17
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Observation 6ea51a52-9ef5-4cbe-b224-13cffdf60501 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Attack of the tails: Yes, you really can backdoor federated learning,
Reference 18
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Observation 24276563-05f6-4760-8e1f-b4c21f9bb295 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Exploring adversarial attacks in federated learning for medical imaging,
Reference 19
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Observation 8012f483-5394-4359-bdf3-90601c4e9738 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Analyzing user-level privacy attack against federated learning,
Reference 20
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Observation d656876c-380e-4a75-9b17-1f8a231dcbf6 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Toward federated learning models resistant to adversarial attacks,
Reference 21
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Observation a3d9ccb9-bb0e-4654-8160-f3bfa11ab05b · outbound
Accelerated Training of Federated Learning via Second-Order Methods Zero knowledge clustering based adversarial mitigation in heterogeneous federated learning,
Reference 22
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Observation 73b4e403-80a3-43f0-94d4-85c4e99e0a59 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Giant: Globally improved approximate newton method for distributed optimization,
Reference 23
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Observation d949a60b-85be-4d9a-825e-2fc7d307bdbd · outbound
Accelerated Training of Federated Learning via Second-Order Methods LocalNewton: Reducing Communication Bottleneck for Distributed Learning
Reference 24
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Observation c666d768-aed3-4e7b-aeba-3f756c0e3836 · outbound
Accelerated Training of Federated Learning via Second-Order Methods FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Reference 25
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Observation 9c630a9a-1f63-4c3d-8bec-756006c38ea3 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Communication-efficient dis- tributed optimization using an approximate newton-type method,
Reference 26
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Observation 2028b3aa-9d35-411b-8d4e-aa88626244d2 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fednl: Making newton-type methods applicable to federated learning,
Reference 27
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Observation 1c5c307e-60fe-4a97-870a-357778292e00 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Nys-fl: A communication efficient federated learning with nystr ¨om approximated global newton direc- tion,
Reference 28
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Observation 8fa17e95-0245-4741-871c-b0cea026cc0d · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fonn: Federated optimization with nys-newton,
Reference 29
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Observation b97e7c09-9f01-4a53-8a5d-52f76cee3e31 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Over-the-air federated learning via second-order optimization,
Reference 30
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Observation e283f66d-0c59-434d-8b8b-20c5e1ae087b · outbound
Accelerated Training of Federated Learning via Second-Order Methods Foplahd: Federated optimization using locally approximated hessian diagonal,
Reference 31
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Observation d1984c70-7798-407b-b588-3f080e0622c6 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Done: distributed approximate newton-type method for federated edge learning,
Reference 32
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Observation 4a769606-e0a8-47eb-a0cc-773e5825fb85 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Freng: Federated optimization by using regularized natural gradient descent,
Reference 33
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Observation fd259a70-5743-484e-abc0-106679c6f6de · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning review: Fundamentals, enabling technologies, and future applications,
Reference 34
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Observation 2f64f7e0-20da-4e65-866e-d3727efa2b9f · outbound
Accelerated Training of Federated Learning via Second-Order Methods The impact of adversarial attacks on federated learning: A survey,
Reference 35
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Observation d4709ccb-69ee-401a-b4a9-179c2ae54448 · outbound
Accelerated Training of Federated Learning via Second-Order Methods A systematic survey for differential privacy techniques in federated learning,
Reference 36
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Observation e1590fef-e828-4da9-94b2-af3b2994af8a · outbound
Accelerated Training of Federated Learning via Second-Order Methods Differential privacy federated learning: A comprehensive review
Reference 37
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Observation a2adc8cc-d703-485a-b008-ecf0817d0479 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Differentially private federated learning: A systematic review,
Reference 38
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Observation e94125e3-ab15-4e53-8a2b-47b84b91c681 · outbound
Accelerated Training of Federated Learning via Second-Order Methods A survey of security threats in federated learning,
Reference 39
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Observation f2b31969-e466-4b38-b7ef-43dbdae879d6 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Challenges, applications and design aspects of federated learning: A survey
Reference 40
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Observation 0af9acf5-60c0-4d2a-907c-f7ebad77893c · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning on non-iid data: A survey,
Reference 41
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Observation f4d71504-943f-4add-bf07-00213b667d67 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning with non-iid data: A survey,
Reference 42
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Observation 37d7311a-cb42-4943-b1b1-11bce29f7f36 · outbound
Accelerated Training of Federated Learning via Second-Order Methods A survey of federated learning on non-iid data,
Reference 43
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Observation 4485da2b-fa45-426c-aff9-4113a80c4045 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated learning for generalization, robustness, fairness: A survey and benchmark,
Reference 44
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Observation f390a9f7-a62a-42eb-90bb-6bd65a25c935 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Non-IID Data
Reference 45
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Observation 1cd69a4c-9d9f-4ab7-a2a9-5ee97420f57b · outbound
Accelerated Training of Federated Learning via Second-Order Methods On Second-order Optimization Methods for Federated Learning
Reference 46
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Observation a3c77e43-a95e-4227-8673-48cdcb2086cf · outbound
Accelerated Training of Federated Learning via Second-Order Methods Review of second-order optimization techniques in artificial neural networks backpropagation,
Reference 47
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Observation 3ea2d6ac-073c-4a98-a338-fb4af51b388d · outbound
Accelerated Training of Federated Learning via Second-Order Methods A survey of deep learning optimizers -- first and second order methods
Reference 48
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Observation d2e9496a-096e-459b-a9f0-8dec0165a91a · outbound
Accelerated Training of Federated Learning via Second-Order Methods A state-of-the-art survey on solving non-iid data in federated learning,
Reference 49
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Observation 12ca4a03-1487-483f-b729-29983af033ab · outbound
Accelerated Training of Federated Learning via Second-Order Methods Stochastic gradient descent,
Reference 50
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Observation 7a627409-e68a-4db0-825b-ab0e5381f186 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Nys-Newton: Nystr\"om-Approximated Curvature for Stochastic Optimization
Reference 51
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Observation 734069cc-652b-49d4-8c61-864ed35a7880 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Second-order stochastic optimization for machine learning in linear time,
Reference 52
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Observation 2371cf0d-9d81-4e81-a4c6-85836820e127 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Distributed estimation of the inverse hessian by determinantal averaging,
Reference 53
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Observation 4cae4526-c918-4e24-bb50-6b15feb0bf67 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Deep learning via hessian-free optimization
Reference 54
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Observation aa9fd46d-6c13-46ac-a938-e8289561c5c6 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Hessian-free optimization for learning deep multidimensional recurrent neural networks,
Reference 55
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Observation 825bbb58-c483-4b3b-be27-04103fdb5e88 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Communication-efficient dis- tributed optimization using an approximate newton-type method,
Reference 56
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Observation ef089ef0-00df-4854-9a3e-a092bd2d8f9c · outbound
Accelerated Training of Federated Learning via Second-Order Methods Disco: Distributed optimization for self- concordant empirical loss,
Reference 57
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Observation 7abcc974-bf83-4b32-8e63-fdae170055b2 · outbound
Accelerated Training of Federated Learning via Second-Order Methods AIDE: Fast and Communication Efficient Distributed Optimization
Reference 58
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Observation 9f35c250-ba4b-4a6b-9050-5bb131f8ac38 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Stochastic dual coordinate ascent methods for regularized loss,
Reference 60
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Observation 735e093d-538c-4987-9b40-93235dcbae0c · outbound
Accelerated Training of Federated Learning via Second-Order Methods Gradient-based learning applied to document recognition,
Reference 61
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Observation fa3e3d38-7747-4658-962a-0536b8a3502d · outbound
Accelerated Training of Federated Learning via Second-Order Methods Parallelized stochastic gradient descent,
Reference 62
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Observation 51b87bb1-5678-48b7-ad99-e87aa655dcb7 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Distributed optimization and statistical learning via the alternating direction method of multipliers,
Reference 63
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Observation 27ef09fc-5b00-4fa2-96a1-f8c7abb7ff78 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Quartz: Randomized dual coordi- nate ascent with arbitrary sampling,
Reference 64
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Observation 129a8fe0-4d54-46af-af43-e3e302f1faff · outbound
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Reference 65
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Observation 469006d8-52e8-45b1-815d-59c48d0396a4 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Libsvm: a library for support vector machines,
Reference 66
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Observation bb82be58-c482-4694-9d1d-ab4852684c8c · outbound
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Reference 67
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Observation 1ef97720-65ed-4097-b68a-4acfc473b56f · outbound
Accelerated Training of Federated Learning via Second-Order Methods LEAF: A Benchmark for Federated Settings
Reference 68
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Reference 69
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Observation 69ebaad9-1f65-4960-966d-caca1eb1f777 · outbound
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Reference 70
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Observation c51b3be7-f461-4dae-8059-dc6af0b73b1b · outbound
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Reference 71
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Observation b29a5435-78b2-4597-bf01-6e9ef20a295d · outbound
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Reference 72
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Observation 417aede5-1a2e-48e4-a71a-43e3a7d1070d · outbound
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Reference 73
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Reference 74
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Observation 36a06d16-c706-4fa8-8915-7a84552b90df · outbound
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Reference 75
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Observation b794997c-d412-4ad7-9c9c-f4571591beda · outbound
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Reference 76
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Reference 77
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Observation 1c9ac396-c4d2-4a34-bd69-cae1c2c74083 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fednew: A communication-efficient and privacy-preserving newton-type method for federated learning,
Reference 78
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Accelerated Training of Federated Learning via Second-Order Methods Shed: A newton- type algorithm for federated learning based on incremental hessian eigenvector sharing,
Reference 79
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Reference 80
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Observation 43e01e03-a6bc-4886-b34d-5d6f0740fb0e · outbound
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Reference 81
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Reference 82
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Observation 89058f18-f7fb-4377-beb1-e3b909821eaa · outbound
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Reference 83
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Observation 4cf7675d-c7e0-43a9-9af2-346e20ec8e5e · outbound
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Reference 84
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Reference 85
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Observation 1b436ac3-24e3-480b-b0ee-190a6f531777 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Stephen j,
Reference 86
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Observation f853cdc8-1234-4659-9073-1121517d2cab · outbound
Accelerated Training of Federated Learning via Second-Order Methods Distributed Quasi-Newton Method for Fair and Fast Federated Learning
Reference 87
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Observation 3f2c0269-b24a-4772-a164-dc418fc9c702 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Learning multiple layers of features from tiny images,
Reference 88
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Observation 2e9d8ae5-9d2f-4329-9210-9e1bde5e309c · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated accelerated stochastic gradient descent,
Reference 89
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Observation 837ad19f-3b89-4d20-bbd9-6e8fa8bd9669 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Adaptive Federated Optimization
Reference 90
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Observation 637e7a52-e486-4ebc-b75d-df62b2de42ab · outbound
Accelerated Training of Federated Learning via Second-Order Methods Feddane: A federated newton-type method,
Reference 91
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Observation aa8c6a64-54d2-4fc8-9661-059ea1fb13a3 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Algorithms for multicriterion optimization,
Reference 92
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Observation e5336fbd-84b5-4db8-9c3e-50d0aa64f3de · outbound
Accelerated Training of Federated Learning via Second-Order Methods Tiny imagenet visual recognition challenge,
Reference 93
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Observation 042027fe-c359-492d-99cd-154f2eeba8b0 · outbound
Accelerated Training of Federated Learning via Second-Order Methods CINIC-10 is not ImageNet or CIFAR-10
Reference 94
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Observation 8e889ea8-c40a-4316-ad23-d16f1202447f · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Fair Averaging
Reference 95
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Observation 3eedfa64-3e34-48d6-94b1-64156f2b7833 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated Learning with Matched Averaging
Reference 96
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Observation ffecdc73-a257-433a-ade0-b75792c8120a · outbound
Accelerated Training of Federated Learning via Second-Order Methods Deep residual learning for image recognition,
Reference 97
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Observation d9c58ee7-54f0-4b06-812c-27dfe75db371 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Federated optimization with linear-time approximated hessian diagonal,
Reference 98
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Observation 35a49397-52e5-43e9-8f42-8d0ef2e6e81e · outbound
Accelerated Training of Federated Learning via Second-Order Methods Robust federated learning under statistical heterogeneity via hessian-weighted aggregation,
Reference 99
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Observation c3bdacc9-a17a-406a-b1b5-cbcc14cb7195 · outbound
Accelerated Training of Federated Learning via Second-Order Methods Fed-sophia: A communication-efficient second-order federated learning algorithm,
Reference 100
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Observation f62ba3dd-bb8a-465b-95d3-b71fade0f26a · outbound
Accelerated Training of Federated Learning via Second-Order Methods An estimator for the diagonal of a matrix,
Reference 101
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No inbound Pith citation observations are available.