Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs | Paper Citation Record

Observation 53e2a203-4604-488f-b892-70c11e95afe4 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Parameter-efficient fine-tuning of large-scale pre-trained language models,

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This paper cites A survey on federated fine-tuning of large language models,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs A survey on federated fine-tuning of large language models,

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This paper cites Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

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This paper cites Lbkd: Rethinking federated backdoors for low-altitude economy via llms and bidirectional knowledge distillation,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Lbkd: Rethinking federated backdoors for low-altitude economy via llms and bidirectional knowledge distillation,

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This paper cites Edge-based communication optimization for distributed federated learning,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Edge-based communication optimization for distributed federated learning,

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This paper cites Saferag: Secure cloud-based retrieval-augmented generation for llm-empowered voice assistants,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Saferag: Secure cloud-based retrieval-augmented generation for llm-empowered voice assistants,

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This paper cites Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness,

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This paper cites Federated fine-tuning for pre-trained foundation models over wireless networks,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated fine-tuning for pre-trained foundation models over wireless networks,

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This paper cites Flora: Federated fine-tuning large language models with heterogeneous low- rank adaptations,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Flora: Federated fine-tuning large language models with heterogeneous low- rank adaptations,

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This paper cites Fedacl: A collaborative federated fine-tuning framework for large language models with awlora and contrastive learning,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Fedacl: A collaborative federated fine-tuning framework for large language models with awlora and contrastive learning,

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This paper cites Towards federated large language models: Motivations, methods, and future directions,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Towards federated large language models: Motivations, methods, and future directions,

Reference 11

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This paper cites Federated large language model: Solutions, challenges and future directions,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated large language model: Solutions, challenges and future directions,

Reference 12

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This paper cites Lora: Low-rank adaptation of large language models.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Lora: Low-rank adaptation of large language models

Reference 13

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This paper cites Federated fine-tuning of llms: Framework comparison and research directions,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated fine-tuning of llms: Framework comparison and research directions,

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This paper cites Flocoff: Data heterogeneity resilient federated learning with communication-efficient edge offloading,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Flocoff: Data heterogeneity resilient federated learning with communication-efficient edge offloading,

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This paper cites Fedlodrop: Federated lora with dropout for generalized llm fine-tuning,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Fedlodrop: Federated lora with dropout for generalized llm fine-tuning,

Reference 16

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This paper cites Federated adaptive fine-tuning of large language models with heterogeneous quantization and lora,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated adaptive fine-tuning of large language models with heterogeneous quantization and lora,

Reference 17

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This paper cites Efficient parallel split learning over resource-constrained wireless edge networks,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Efficient parallel split learning over resource-constrained wireless edge networks,

Reference 18

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This paper cites Adaptive model slimming for communication and computation efficient federated edge learning under non-iid data distribution,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Adaptive model slimming for communication and computation efficient federated edge learning under non-iid data distribution,

Reference 19

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This paper cites Dataset distillation-based hybrid federated learning on non-iid data,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Dataset distillation-based hybrid federated learning on non-iid data,

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This paper cites Fedsv: Byzantine-robust federated learning via shapley value,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Fedsv: Byzantine-robust federated learning via shapley value,

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated learning meets multi-objective optimization,

Reference 22

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Filling the missing: Exploring generative ai for enhanced federated learning over heterogeneous mobile edge devices,

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This paper cites Fedsecurity: A benchmark for attacks and defenses in federated learning and federated llms,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Fedsecurity: A benchmark for attacks and defenses in federated learning and federated llms,

Reference 24

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Straggler-resilient federated learning: Tackling computation heterogeneity with layer-wise partial model training in mobile edge network,

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends,

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Dm-fedmf: A recommendation model of federated matrix factorization with detection mechanism,

Reference 27

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated learning while pro- viding model as a service: Joint training and inference optimization,

Reference 28

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Securing billion bluetooth devices leveraging learning-based techniques,

Reference 29

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Rofed- llm: robust federated learning for large language models in adversarial wireless environments,

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Graph Representation-based Model Poisoning on the Heterogeneous Internet of Agents

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Prism: Privacy-aware routing for adaptive cloud–edge llm inference via semantic sketch collaboration,

Reference 32

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Falcon: Federated active learning-based concept drift adapta- tion for malware detection,

Reference 33

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Local model poisoning attacks to{Byzantine-Robust}federated learning,

Reference 34

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs A little is enough: Circumvent- ing defenses for distributed learning,

Reference 35

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Mpaf: Model poisoning attacks to federated learning based on fake clients,

Reference 36

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Data-agnostic model poisoning against federated learning: A graph autoencoder approach,

Reference 37

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Lever- age variational graph representation for model poisoning on federated learning,

Reference 38

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs User isolation poisoning on decentralized federated learning: An adversarial message-passing graph neural network approach,

Reference 39

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This paper cites PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning

Reference 40

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Silent penetrator: Breaching cross-domain federated fine-tuning via feature shift-induced backdoor,

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This paper cites Low rank comes with low security: Gradient assembly poisoning attacks against distributed lora-based llm systems,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Low rank comes with low security: Gradient assembly poisoning attacks against distributed lora-based llm systems,

Reference 43

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs A comprehensive survey of federated open-world learning,

Reference 44

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Lora-fair: Federated lora fine- tuning with aggregation and initialization refinement,

Reference 45

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Privacy and robustness in federated learning: Attacks and defenses,

Reference 46

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federated learning for urban sensing systems: A comprehensive survey on attacks, defences, incentive mech- anisms, and applications,

Reference 47

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This paper cites The impact of adversarial attacks on federated learning: A survey,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs The impact of adversarial attacks on federated learning: A survey,

Reference 48

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning

Reference 49

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Practical framework for privacy-preserving and byzantine-robust federated learning,

Reference 50

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This paper cites Overcoming noisy labels and non-iid data in edge federated learning,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Overcoming noisy labels and non-iid data in edge federated learning,

Reference 51

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Fedapm: Federated learning via admm with partial model personalization,

Reference 52

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This paper cites Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction

Reference 53

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Finback: Infiltrating backdoors into gradient compressors on federated learning,

Reference 54

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This paper cites Efficient mobile-cloud collaborative aggregation for federated learning with la- tency resilience,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Efficient mobile-cloud collaborative aggregation for federated learning with la- tency resilience,

Reference 55

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This paper cites Augfl: Aug- menting federated learning with pretrained models,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Augfl: Aug- menting federated learning with pretrained models,

Reference 56

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Snapcfl: A pre-clustering-based clustered federated learning framework for data and system heterogeneities,

Reference 57

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Federal graph contrastive learning with secure cross-device validation,

Reference 58

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This paper cites The autoencoding variational autoencoder,.

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs The autoencoding variational autoencoder,

Reference 59

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Biasing federated learning with a new adversarial graph attention network,

Reference 60

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Character-level convolutional net- works for text classification,

Reference 61

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 62

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Pythia: A suite for analyzing large language models across training and scaling,

Reference 63

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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Qwen2.5-Coder Technical Report

Reference 64

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