Paper Citation Record · LEDGER

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2603.18540.

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

pith.paper-citation-record.v1
2603.18540 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:51:35.206944Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:17:04.893967Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:58:06.039986Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06482a07-4d10-45b5-b989-417dde0274a6 · outbound

This paper cites FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.034229Z

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Observation a617e691-d180-4d00-9760-b1e80c316ba1 · outbound

This paper cites Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.038721Z

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Observation ec6bb66d-f8ed-4ea2-8daf-96207b37c515 · outbound

This paper cites LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems LLMs and IoT: A Comprehensive Survey on Large Language Models and the Internet of Things,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.042957Z

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Observation 46860495-ffe3-42c8-8899-afc4ea6d5544 · outbound

This paper cites Hfedmoe: Resource-Aware Heterogeneous Federated Learning with Mixture-of-Experts,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Hfedmoe: Resource-Aware Heterogeneous Federated Learning with Mixture-of-Experts,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.046856Z

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Observation 20ec99f7-2f71-4a9a-81a0-376190e11387 · outbound

This paper cites Unleashing the Power of Continual Learning on Non-centralized Devices: A Survey,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Unleashing the Power of Continual Learning on Non-centralized Devices: A Survey,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.050531Z

Source-reported events for the cited work

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Observation be61621c-01a3-44ab-b2da-641a049d45a6 · outbound

This paper cites Centralized and Federated Learning for Predictive VNF Autoscaling in Multi-domain 5G Networks and Beyond,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Centralized and Federated Learning for Predictive VNF Autoscaling in Multi-domain 5G Networks and Beyond,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.054242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324ac001-ab2d-4096-9b7f-f8c76e0e17ff · outbound

This paper cites Social-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Social-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.058409Z

Source-reported events for the cited work

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Observation aca5f0e5-e735-4fce-b39f-740f6157c234 · outbound

This paper cites Automated Federated Pipeline for Parameter-efficient Fine-tuning of Large Language Models,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Automated Federated Pipeline for Parameter-efficient Fine-tuning of Large Language Models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.062008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a123d27-edd0-4470-8e96-85dc8b45370d · outbound

This paper cites Amount of Data Created, Consumed, and Stored 2010-2023, with Forecasts to 2028,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Amount of Data Created, Consumed, and Stored 2010-2023, with Forecasts to 2028,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.065429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d011092-7507-4914-95c5-b5cb474b99b3 · outbound

This paper cites Optimizing Parameter Mixing Under Constrained Communications in Parallel Federated Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Optimizing Parameter Mixing Under Constrained Communications in Parallel Federated Learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.068959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c0e176-6409-479c-910b-d9f4ef0a5ce1 · outbound

This paper cites Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.072534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f3c745-d304-46b5-a5dc-d7829df8018c · outbound

This paper cites Communication-efficient Learning of Deep Networks From Decentralized Data,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Communication-efficient Learning of Deep Networks From Decentralized Data,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.076346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d59688b-69dd-444e-b77c-0343c87ed8fa · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Federated Learning: Strategies for Improving Communication Efficiency

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.079665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b99140c-a18b-410c-869d-4764a2a8e572 · outbound

This paper cites Accelerating Federated Learning with Model Segmentation for Edge Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Accelerating Federated Learning with Model Segmentation for Edge Networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.083394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f80e888-64d1-4508-aa2b-26a2d8281aad · outbound

This paper cites Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.086691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7cce26-67a5-49b7-a595-295cebe72f96 · outbound

This paper cites Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.090045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1706cc11-de11-4fcc-9502-5c2b14a9440a · outbound

This paper cites HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.093371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335eace6-ffda-44b7-ad2c-d43920547877 · outbound

This paper cites Split learning over Wireless Networks: Parallel Design and Resource Management,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Split learning over Wireless Networks: Parallel Design and Resource Management,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.096993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3773e6-c299-41f3-be90-66e77966e5e2 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Gemini: A Family of Highly Capable Multimodal Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.100407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a64b17-245e-457e-9606-a6f3e835cb0d · outbound

This paper cites HASFL: Heterogeneity- aware Split Federated Learning over Edge Computing Systems,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems HASFL: Heterogeneity- aware Split Federated Learning over Edge Computing Systems,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.104043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e76bea7-ebe8-40ee-a58b-093af3f65e35 · outbound

This paper cites Splitfed: When Federated Learning Meets Split Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Splitfed: When Federated Learning Meets Split Learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.107614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c522793-dc2b-4660-b62f-582a9834a611 · outbound

This paper cites Unleashing the Tiger: Inference Attacks on Split Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Unleashing the Tiger: Inference Attacks on Split Learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.110948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcec8f1d-8acd-40eb-a2b4-1b33ed26c34c · outbound

This paper cites Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.114287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ff5dc4-37eb-4a37-8890-a99a5069c267 · outbound

This paper cites NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.117646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9948f85-39cd-4e26-8f05-333f6149ae5e · outbound

This paper cites ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems ESL-LEO: An Efficient Split Learning Framework over LEO Satellite Networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.121215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf8587e-c54a-44a4-980c-8f3fad7e1f46 · outbound

This paper cites A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.124731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a037f134-6f4a-4b68-9b75-49880e536333 · outbound

This paper cites Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.128499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49d3d7e-5248-4eb4-b236-fa47fe55d6c2 · outbound

This paper cites Split Learning in 6G Edge Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Split Learning in 6G Edge Networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.132456Z

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Unavailable: canonical work link unavailable.

Observation ccea7dbc-c560-4544-bd0d-14e1eadb6a7e · outbound

This paper cites Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.136144Z

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Unavailable: canonical work link unavailable.

Observation 5e7b6514-ff4a-42d5-8d0c-2306b9682450 · outbound

This paper cites FedCiR: Client-invariant Representation Learning for Federated Non-IID Features,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems FedCiR: Client-invariant Representation Learning for Federated Non-IID Features,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.139606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f487b45-d7e0-4dc9-91d0-5433a8e865a7 · outbound

This paper cites FedASA: A Personalized Federated Learning with Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems FedASA: A Personalized Federated Learning with Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.143057Z

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Unavailable: canonical work link unavailable.

Observation 5449b80d-05fc-4f7d-83f2-b7882b66d682 · outbound

This paper cites Very Deep Convolutional Networks for Large-scale Image Recognition,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Very Deep Convolutional Networks for Large-scale Image Recognition,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.146755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc88647-816c-4162-a9db-91e81a6f999f · outbound

This paper cites Learning Multiple Layers of Features From Tiny Images,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Learning Multiple Layers of Features From Tiny Images,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.150253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971c7c02-3c87-4117-8059-c8dcb78b5b7b · outbound

This paper cites Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.153671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99717386-404d-42c1-9041-5f234d0eaf72 · outbound

This paper cites LEO-Split: A Semi-supervised Split Learning Framework over LEO Satellite Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems LEO-Split: A Semi-supervised Split Learning Framework over LEO Satellite Networks,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.157106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29bfccb-6376-439b-8e3e-21374aadb14b · outbound

This paper cites Multi-level Personalized Federated Learning on Heterogeneous and Long-tailed Data,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Multi-level Personalized Federated Learning on Heterogeneous and Long-tailed Data,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.161091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65686420-ef65-48e7-91b6-13deeed7c5d7 · outbound

This paper cites AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.164483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249bc8b9-f61c-4ea3-9917-f7a7e39b2311 · outbound

This paper cites Profit Allocation for Federated Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Profit Allocation for Federated Learning,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.167887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03842c0-6fb0-4aae-b695-921b94864b26 · outbound

This paper cites GOFL: An accurate and efficient federated learning framework based on gradient optimization in Heterogeneous IoT systems,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems GOFL: An accurate and efficient federated learning framework based on gradient optimization in Heterogeneous IoT systems,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.171346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c5986a-360f-408f-beaf-281aecf5ac29 · outbound

This paper cites NVIDIA Jetson Embedded Systems Developer Kits and Mod- ules.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems NVIDIA Jetson Embedded Systems Developer Kits and Mod- ules

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.175090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e8af30-e3ed-42fa-bc2a-5876ab41478f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.178574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710c9888-2a9d-465e-a161-f37b86098f6c · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Split learning for health: Distributed deep learning without sharing raw patient data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.181942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4abfd08b-a7c8-4023-a706-1775e257a35e · outbound

This paper cites Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.185665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d9a870-d476-482e-88bd-453e7b8e960f · outbound

This paper cites Adaptsfl: Adaptive Split Federated Learning in Resource-constrained Edge Networks,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Adaptsfl: Adaptive Split Federated Learning in Resource-constrained Edge Networks,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.189565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fe1666-f424-426d-8732-3ffabca3bbdb · outbound

This paper cites Hierarchical Split Federated Learning: Convergence Analysis and System Optimization,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Hierarchical Split Federated Learning: Convergence Analysis and System Optimization,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.193010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e9188da-2657-490f-90d5-0f9b128cd5cb · outbound

This paper cites FedAW A: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems FedAW A: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.196427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f59194-6ee6-462f-8bd6-9da0cc566fb8 · outbound

This paper cites Scaffold: Stochastic Controlled Averaging for Federated Learning,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Scaffold: Stochastic Controlled Averaging for Federated Learning,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.199980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65100990-3ede-4c47-a462-99eb7878c3a2 · outbound

This paper cites Fedcache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Fedcache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.203473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d1a487-46e6-49a1-8ff4-46a0c824ab19 · outbound

This paper cites Towards Personalized Federated Learning via Heterogeneous Model Reassembly,.

GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Towards Personalized Federated Learning via Heterogeneous Model Reassembly,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T05:51:35.206944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ab603f52-2399-4bf8-83dd-c84a8e49a6cf · inbound

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing cites this paper.

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-08-04T03:26:38.495535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7090875-2aca-474f-a200-4774c99731b7 · inbound

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT cites this paper.

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-08-04T03:26:38.495535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.