EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning | Paper Citation Record

Observation f541347a-0801-4c1f-911c-9bd6eb31bd58 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning High- resolution image synthesis with latent diffusion models,

Reference 1

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Observation d017434c-f334-446e-8625-28df1cd0db8b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Edge computing: Vision and challenges,

Reference 3

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Observation 5f86d94c-37d0-4b6b-9ccd-1b3c86e87951 · outbound

This paper cites Empowering edge intelligence: A comprehensive survey on on-device ai models,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Empowering edge intelligence: A comprehensive survey on on-device ai models,

Reference 4

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Observation 43c00f5b-ca1a-4926-98b5-2958bc0bb3d0 · outbound

This paper cites Diffusion-based reinforcement learning for edge-enabled ai-generated content services,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Diffusion-based reinforcement learning for edge-enabled ai-generated content services,

Reference 5

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Observation 11c40513-b845-4bd4-835b-5752be2a8626 · outbound

This paper cites Ai- generated incentive mechanism and full-duplex semantic communica- tions for information sharing,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Ai- generated incentive mechanism and full-duplex semantic communica- tions for information sharing,

Reference 6

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Observation a0494348-7fc7-4f5e-abc2-902232497e19 · outbound

This paper cites Velo: A vector database- assisted cloud-edge collaborative llm qos optimization framework,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Velo: A vector database- assisted cloud-edge collaborative llm qos optimization framework,

Reference 7

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Observation 487e8cd4-a40a-40ae-a9a2-1c8f606c9dd1 · outbound

This paper cites Multi-user layer- aware online container migration in edge-assisted vehicular networks,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Multi-user layer- aware online container migration in edge-assisted vehicular networks,

Reference 8

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Observation 7af0706f-b0cd-4ee0-ba26-fea7c4ddfeff · outbound

This paper cites Provably efficient algorithms for placement of service function chains with ordering con- straints,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Provably efficient algorithms for placement of service function chains with ordering con- straints,

Reference 9

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This paper cites Joint resource overbooking and container scheduling in edge computing,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Joint resource overbooking and container scheduling in edge computing,

Reference 10

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Observation 40285453-cafb-4e03-b80a-efb65394f94a · outbound

This paper cites Sustainable aigc workload scheduling of geo-distributed data centers: A multi-agent reinforcement learning approach,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Sustainable aigc workload scheduling of geo-distributed data centers: A multi-agent reinforcement learning approach,

Reference 11

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Observation cb9a9e22-ebdf-4b7e-97e7-1501d60e1295 · outbound

This paper cites Learning-to-cache: Accelerating diffusion transformer via layer caching,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Learning-to-cache: Accelerating diffusion transformer via layer caching,

Reference 12

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Observation 758256fd-0325-4fc2-9034-dc010b1a14af · outbound

This paper cites Training-free adaptive diffusion with bounded difference approximation strategy,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Training-free adaptive diffusion with bounded difference approximation strategy,

Reference 13

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Observation a728417f-4fd5-476f-a89c-3599a6dc0c5f · outbound

This paper cites Distrifusion: Distributed parallel inference for high-resolution diffusion models,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Distrifusion: Distributed parallel inference for high-resolution diffusion models,

Reference 14

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Observation 46b4ad75-16fd-419b-9c18-37347853cce0 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Diffusion models: A comprehensive survey of methods and applications,

Reference 15

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Observation 9fedacd3-5301-4453-b94f-2a3702bf1170 · outbound

This paper cites Efficient Large Language Models: A Survey.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Efficient Large Language Models: A Survey

Reference 16

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Observation 92ed29e0-a322-4f2d-9c33-6bb6a08d509d · outbound

This paper cites Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc,

Reference 17

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Observation 5bddcc04-b1ab-4c8a-b428-4231bbfd7dff · outbound

This paper cites Knowl- edge distillation with the reused teacher classifier,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Knowl- edge distillation with the reused teacher classifier,

Reference 18

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Observation 6f332bcb-e5e2-4209-8fe8-b6e0d3202d88 · outbound

This paper cites Enhancing large vision language models with self-training on image comprehension,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Enhancing large vision language models with self-training on image comprehension,

Reference 19

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Observation 014745e9-6c8e-458c-a764-94fd3f3768e8 · outbound

This paper cites Attention is all you need,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Attention is all you need,

Reference 20

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Observation 239b8dd1-9871-48a7-aa9a-cd87dfd47edb · outbound

This paper cites Dynamic topology and resource allocation for distributed training in mobile edge computing,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Dynamic topology and resource allocation for distributed training in mobile edge computing,

Reference 21

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Observation d38d5928-a9b6-463a-a49b-2c340c186217 · outbound

This paper cites Reflexpilot: Startup- aware dependent task scheduling based on deep reinforcement learning for edge-cloud collaborative computing,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Reflexpilot: Startup- aware dependent task scheduling based on deep reinforcement learning for edge-cloud collaborative computing,

Reference 22

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Observation f0a448ca-d241-4cdc-9d24-4e1d6c377cd3 · outbound

This paper cites Resource-efficient collaborative edge transformer inference with hybrid model parallelism,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Resource-efficient collaborative edge transformer inference with hybrid model parallelism,

Reference 23

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Observation 5263c31e-36cb-412c-a135-ed23bdf5fec4 · outbound

This paper cites Design and timing guarantee for non- preemptive gang scheduling,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Design and timing guarantee for non- preemptive gang scheduling,

Reference 24

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Observation 7bb4de59-ed2d-4caa-a2e9-c869c5ed15b0 · outbound

This paper cites Scaling Laws for Neural Language Models.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Scaling Laws for Neural Language Models

Reference 25

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Observation 6e286716-053e-4c03-9135-6d7fbbe643d0 · outbound

This paper cites Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost

Reference 26

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Observation 3b6ffb1c-ec6e-4bbf-8e93-d6010bef4876 · outbound

This paper cites Characterizing and scheduling of diffusion process for text-to-image generation in edge networks,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Characterizing and scheduling of diffusion process for text-to-image generation in edge networks,

Reference 27

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Observation 1b7a1089-5e88-473c-a8d8-3ef1b98c7f7c · outbound

This paper cites Efficient and adaptive diffusion model inference through lookup table on mobile devices,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Efficient and adaptive diffusion model inference through lookup table on mobile devices,

Reference 28

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Observation a7a8e38c-687d-4dea-b2e5-b38f081cc40e · outbound

This paper cites Language models are few-shot learners,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Language models are few-shot learners,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:47:42.197389Z

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Observation 161cdf9f-d657-490f-b5d9-f79c787077f0 · outbound

This paper cites OpenAI o1 System Card.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning OpenAI o1 System Card

Reference 30

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This paper cites Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Reference 31

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Observation 1fc9d832-3a5d-4507-9f1e-1b36d4968c16 · outbound

This paper cites Exploding ai power use: An opportunity to rethink grid planning and management,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Exploding ai power use: An opportunity to rethink grid planning and management,

Reference 32

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Observation e8359bc5-967e-4779-8b54-ae265f4a1e16 · outbound

This paper cites Spatio–temporal edge service placement: A bandit learning approach,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Spatio–temporal edge service placement: A bandit learning approach,

Reference 33

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Observation ac22f021-259a-45ae-a5a1-30def6b508ee · outbound

This paper cites Dependent task offloading for edge computing based on deep rein- forcement learning,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Dependent task offloading for edge computing based on deep rein- forcement learning,

Reference 34

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Observation c4b99743-a20b-49c0-b964-25ec4014ab0e · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 35

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Observation 166e8471-a114-4519-b768-8f7e53dc2b50 · outbound

This paper cites A reinforcement learning diffusion decision model for value-based decisions,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning A reinforcement learning diffusion decision model for value-based decisions,

Reference 36

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Observation 1800c2a6-cea7-4c00-a623-f22c033143ff · outbound

This paper cites Learning transferable visual models from natural language supervision,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Learning transferable visual models from natural language supervision,

Reference 37

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Observation 60700f45-f93a-4d50-80ec-b0aff0ec8b31 · outbound

This paper cites Denoising diffusion probabilistic models,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Denoising diffusion probabilistic models,

Reference 38

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Observation f0a5e886-932e-45b9-afaf-4eae9271bec8 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 39

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EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Adam: A method for stochastic optimization,

Reference 40

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This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Mish: A Self Regularized Non-Monotonic Activation Function

Reference 41

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This paper cites A new heuristic optimization algorithm: harmony search,.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning A new heuristic optimization algorithm: harmony search,

Reference 42

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EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Unresolved cited work

Reference 43

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This paper cites Proximal Policy Optimization Algorithms.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 44

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Observation 056f671b-4c4c-454b-b045-c1f135292c67 · outbound

This paper cites His research interests include internet of things, edge computing, and mobile computing.

EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning His research interests include internet of things, edge computing, and mobile computing

Reference 2011

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