FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning | Paper Citation Record

Observation d797dab2-0953-40da-b082-0fd76d6159a4 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 1

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Observation 4d79b856-f77f-449c-a34e-90937e79776a · outbound

This paper cites Advances and Open Problems in Federated Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Advances and Open Problems in Federated Learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:14.052790Z

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Observation c90fd4e3-4b7b-42ef-84b6-4a76f8147b7a · outbound

This paper cites Combining Fed- erated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Combining Fed- erated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions,

Reference 3

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Observation e0e3bd33-8e1d-48e5-8243-37e25d9da7a1 · outbound

This paper cites FedTD3: An Accelerated Learning Approach for UA V Trajectory Planning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedTD3: An Accelerated Learning Approach for UA V Trajectory Planning,

Reference 4

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Observation f7368142-bbc3-421e-abca-9da4c17d2acb · outbound

This paper cites Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory

Reference 5

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Observation 96dfce72-aa74-4903-81e9-f2a136299477 · outbound

This paper cites CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning CrystalMem: Elastic Memory for Self-Evolving LLM Agents via Knowledge Crystallization

Reference 6

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Observation 74146570-9dc0-466a-a573-bea85525bd90 · outbound

This paper cites FedMultimodal: A Benchmark For Multimodal Federated Learning.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedMultimodal: A Benchmark For Multimodal Federated Learning

Reference 7

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Observation f3dc637e-e3c0-4057-b29b-722ccbde1545 · outbound

This paper cites Towards Multi-Modal Transformers in Federated Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Towards Multi-Modal Transformers in Federated Learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:14.017228Z

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Observation 47ff9598-66a1-4ea6-9916-eb6b472dcd87 · outbound

This paper cites R- ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning R- ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications,

Reference 9

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Observation 2df2fdf0-de1c-45e2-8ff1-831685684723 · outbound

This paper cites Shared Spatial Memory Through Predictive Coding,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Shared Spatial Memory Through Predictive Coding,

Reference 10

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Observation 68bfe100-4448-42ab-87e6-828963d0826d · outbound

This paper cites ST-Hybrid: Dynamic Graph Learning with Multi- Scale Spatio-Temporal Attention for Traffic Forecasting,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning ST-Hybrid: Dynamic Graph Learning with Multi- Scale Spatio-Temporal Attention for Traffic Forecasting,

Reference 11

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Observation 69bc90df-8ac1-4ce2-a4d5-703687d674cc · outbound

This paper cites PRISM: Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning PRISM: Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning

Reference 12

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Observation 72aad84b-25ae-43d5-b305-0fe30264cf57 · outbound

This paper cites Federated Learning Based on Dynamic Regularization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Federated Learning Based on Dynamic Regularization,

Reference 13

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Observation 6b6aca07-95fc-445e-9631-6fa28551f316 · outbound

This paper cites FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity,

Reference 14

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Observation ad9f81ba-c8a7-4700-a0aa-663dde3a1021 · outbound

This paper cites Adaptive Federated Optimization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Adaptive Federated Optimization,

Reference 15

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Observation 686e8460-0b32-45ed-9c92-79f28078ddc4 · outbound

This paper cites FedBABU: Toward Enhanced Represen- tation for Federated Image Classification,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedBABU: Toward Enhanced Represen- tation for Federated Image Classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.950566Z

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Observation edfbd1d1-cf51-453d-94b1-62e79887c41b · outbound

This paper cites Model-Contrastive Federated Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Model-Contrastive Federated Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.940088Z

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Observation 6cabafcb-16a0-468f-8d0e-6a502d9715f1 · outbound

This paper cites A Dual- Level Game-Theoretic Approach for Collaborative Learning in UA V- Assisted Heterogeneous Vehicle Networks,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning A Dual- Level Game-Theoretic Approach for Collaborative Learning in UA V- Assisted Heterogeneous Vehicle Networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.929327Z

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Observation 59cea408-b9ec-4312-8252-d3afca717d40 · outbound

This paper cites Combating Knowledge Diversity and Catastrophic Forgetting in UA V-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Combating Knowledge Diversity and Catastrophic Forgetting in UA V-Assisted Collaborative Vehicular Learning: A Game-Theoretic Approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.918018Z

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Observation 3000394e-7894-47e6-a180-c5da3f207ce0 · outbound

This paper cites Learning to Defend: A Multi-Agent Reinforcement Learning Framework for Stackelberg Security Game in Mobile Edge Computing,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Learning to Defend: A Multi-Agent Reinforcement Learning Framework for Stackelberg Security Game in Mobile Edge Computing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.906841Z

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Observation dc18777b-3949-404e-bbd5-de4ca55866a0 · outbound

This paper cites Model-Free Cooperative Optimal Output Regulation for Linear Discrete-Time Multi-Agent Systems Using Reinforcement Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Model-Free Cooperative Optimal Output Regulation for Linear Discrete-Time Multi-Agent Systems Using Reinforcement Learning,

Reference 21

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Observation 03065d72-51a2-44af-afd1-e877176907d6 · outbound

This paper cites FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.889325Z

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Observation 83ad6585-7338-4030-ac00-78ec4e2da1f2 · outbound

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

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 23

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Observation 782e0705-4e17-473d-88f5-9a86d665987f · outbound

This paper cites Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.878638Z

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Observation 822e2e75-6fbc-444b-b7e8-e9d9f62732f0 · outbound

This paper cites Enhancing Vehic- ular Platooning With Wireless Federated Learning: A Resource-Aware Control Framework,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Enhancing Vehic- ular Platooning With Wireless Federated Learning: A Resource-Aware Control Framework,

Reference 25

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Observation 3e9047d2-4f3c-4dee-84b3-a6c0c3998971 · outbound

This paper cites A Fast UA V Tra- jectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning A Fast UA V Tra- jectory Planning Framework in RIS-Assisted Communication Systems With Accelerated Learning via Multithreading and Federating,

Reference 26

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Observation 5d9e68c0-3f7c-4c0d-a007-205a2311d250 · outbound

This paper cites ‘X of Information’ Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Net- worked Systems,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning ‘X of Information’ Continuum: A Survey on AI-Driven Multi-Dimensional Metrics for Next-Generation Net- worked Systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.854633Z

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Observation b834caeb-e8de-4db9-a8e4-886d02275d48 · outbound

This paper cites AoI-Aware Resource Management for Smart Health via Deep Reinforcement Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning AoI-Aware Resource Management for Smart Health via Deep Reinforcement Learning,

Reference 28

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Observation 3dc894d5-1658-4ce5-a7e7-79be921ecfbd · outbound

This paper cites Transformer-Based Dynamic Resource Allocation for Multi-Carrier NOMA Systems,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Transformer-Based Dynamic Resource Allocation for Multi-Carrier NOMA Systems,

Reference 29

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Observation 15307893-618e-4271-8bf1-273412695183 · outbound

This paper cites Securing Smart Agriculture with Communication-Efficient Federated Unlearning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Securing Smart Agriculture with Communication-Efficient Federated Unlearning,

Reference 30

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Observation 25e09f69-0916-4aa7-b843-c972edbe5fd4 · outbound

This paper cites Reinforcement Learning- Based Energy-Aware Coverage Path Planning for Precision Agriculture,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Reinforcement Learning- Based Energy-Aware Coverage Path Planning for Precision Agriculture,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.819697Z

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Observation d8f3efe6-b2db-4e2f-a476-43cc1f1341f5 · outbound

This paper cites A Stochastic Geometry-Based Analysis of SWIPT-Assisted Underlaid Device-to-Device Energy Har- vesting,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning A Stochastic Geometry-Based Analysis of SWIPT-Assisted Underlaid Device-to-Device Energy Har- vesting,

Reference 32

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Observation 0ea654fa-9d4d-40ec-a825-7b6af704e198 · outbound

This paper cites A Fault-Tolerant and Energy-Efficient Design of a Network Switch Based on a Quantum- Based Nano-Communication Technique,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning A Fault-Tolerant and Energy-Efficient Design of a Network Switch Based on a Quantum- Based Nano-Communication Technique,

Reference 33

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Observation 82cbf58d-2232-4bbf-958a-8bb8c9c298b8 · outbound

This paper cites Inference-Time Budget Control for LLM Search Agents.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Inference-Time Budget Control for LLM Search Agents

Reference 34

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Observation f04f0b1d-2c2b-4237-be54-acc5ce29123a · outbound

This paper cites FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication

Reference 35

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Observation a6a8babc-5c83-4a8e-b0c7-cff0ccf7ab54 · outbound

This paper cites RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge

Reference 36

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Observation 3a076241-8bc1-4190-bd3e-12d0ae02a5f6 · outbound

This paper cites EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

Reference 37

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Observation 82668f37-3462-4cf4-a2c4-0c0cded33945 · outbound

This paper cites Oort: Efficient Federated Learning via Guided Participant Selection,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Oort: Efficient Federated Learning via Guided Participant Selection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.796121Z

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Observation 8b1433a6-dccd-4834-b2ad-818185b59392 · outbound

This paper cites Federated Optimization in Heterogeneous Networks,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Federated Optimization in Heterogeneous Networks,

Reference 39

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Observation ce081ccc-1a52-4c37-958d-65f9a8bfb31b · outbound

This paper cites Elastic Aggregation for Federated Optimization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Elastic Aggregation for Federated Optimization,

Reference 40

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Observation 3f6eedd6-0940-4f78-a806-174644bda387 · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedBN: Federated Learning on Non-IID Features via Local Batch Normalization,

Reference 41

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Observation 0d332513-5889-4215-9a45-f22e34c83cd3 · outbound

This paper cites Exploiting Shared Representations for Personalized Federated Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Exploiting Shared Representations for Personalized Federated Learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.757366Z

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Observation 5319fc69-7660-45c2-a72e-fbb878b36745 · outbound

This paper cites Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relation- ships,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relation- ships,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.746005Z

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Observation bdc7ce62-b258-42ac-a3fa-4469861e8fb6 · outbound

This paper cites FedSR: A Simple and Effec- tive Domain Generalization Method for Federated Learning,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning FedSR: A Simple and Effec- tive Domain Generalization Method for Federated Learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.735279Z

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Observation 6cd2dc63-d841-4ec0-b227-456efce2544a · outbound

This paper cites A Review of Continual Learning in Edge AI,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning A Review of Continual Learning in Edge AI,

Reference 45

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Observation e099a017-8de9-4e32-80c9-7f96e8d8fa1a · outbound

This paper cites Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:13.354399Z

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Observation b4154fd5-c1db-4697-9ae3-e18e0f90b3ec · outbound

This paper cites From Alpha to Omega: Lifecycle- Aware Forgetting Defense in Federated Continual Learning for Planetary Exploration,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning From Alpha to Omega: Lifecycle- Aware Forgetting Defense in Federated Continual Learning for Planetary Exploration,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.718076Z

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Observation f63f51cb-4bab-47a8-a10d-5ed54bddb9bd · outbound

This paper cites nuScenes: A Multimodal Dataset for Autonomous Driving,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning nuScenes: A Multimodal Dataset for Autonomous Driving,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.706804Z

Source-reported events for the cited work

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Observation 468bfd4f-92c4-484e-b79b-df20e37e21cf · outbound

This paper cites Real-Time Intelligent Healthcare Enabled by Federated Digital Twins With AoI Optimization,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Real-Time Intelligent Healthcare Enabled by Federated Digital Twins With AoI Optimization,

Reference 49

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This paper cites Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:13.368208Z

Source-reported events for the cited work

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Observation a4a69195-e77f-486c-944e-cb312089c350 · outbound

This paper cites SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.689949Z

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This paper cites On Nonlinear Fractional Programming,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning On Nonlinear Fractional Programming,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.679087Z

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Observation a6cc7348-e24e-4337-82b7-c247a2338d8a · outbound

This paper cites Bounds for Certain Multiprocessing Anomalies,.

FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning Bounds for Certain Multiprocessing Anomalies,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:27:13.668983Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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