On the public citation graph
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
0 signed · 51 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10664-017-9508-2openalex-snapshot
Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time
inferredcites →https://doi.org/10.1007/s10664-019-09780-zopenalex-snapshot
FixMiner: Mining relevant fix patterns for automated program repair
inferredcites →https://doi.org/10.1007/s10664-022-10118-5openalex-snapshot
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks
inferredcites →https://doi.org/10.1109/iccv51070.2023.00447openalex-snapshot
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
inferredcites →https://doi.org/10.1109/icse43902.2021.00056openalex-snapshot
Program Comprehension and Code Complexity Metrics: An fMRI Study
inferredcites →https://doi.org/10.1109/icse43902.2021.00107openalex-snapshot
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1109/tmc.2024.3376697openalex-snapshot
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
inferredcites →https://doi.org/10.1109/tmm.2023.3340109openalex-snapshot
FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data
inferredcites →https://doi.org/10.1109/tse.2015.2454513openalex-snapshot
The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs
inferredcites →https://doi.org/10.1109/tse.2021.3071750openalex-snapshot
Automated Classification of Overfitting Patches With Statically Extracted Code Features
inferredcites →https://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/tse.2023.3347898openalex-snapshot
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2024.3354969openalex-snapshot
APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models
inferredcites →https://doi.org/10.1145/2610384.2628055openalex-snapshot
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
inferredcites →https://doi.org/10.1145/2901739.2901749openalex-snapshot
Automatic clustering of code changes
inferredcites →https://doi.org/10.1145/2931037openalex-snapshot
Proceedings of the 25th International Symposium on Software Testing and Analysis
inferredcites →https://doi.org/10.1145/3106237openalex-snapshot
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3296979.3192387openalex-snapshot
Automated clustering and program repair for introductory programming assignments
inferredcites →https://doi.org/10.1145/3324884openalex-snapshot
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3340544openalex-snapshot
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
inferredcites →https://doi.org/10.1145/3387940.3391494openalex-snapshot
Building Implicit Vector Representations of Individual Coding Style
inferredcites →https://doi.org/10.1145/3395363.3397386openalex-snapshot
Automated repair of feature interaction failures in automated driving systems
inferredcites →https://doi.org/10.1145/3505247openalex-snapshot
Context-Aware Code Change Embedding for Better Patch Correctness Assessment
inferredcites →https://doi.org/10.1145/3510003openalex-snapshot
Proceedings of the 44th International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3533767openalex-snapshot
Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis
inferredcites →https://doi.org/10.1145/3540250openalex-snapshot
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3540250.3549101openalex-snapshot
Less training, more repairing please: revisiting automated program repair via zero-shot learning
inferredcites →https://doi.org/10.1145/3551349openalex-snapshot
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3593434openalex-snapshot
Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering
inferredcites →https://doi.org/10.1145/3611643openalex-snapshot
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3631972openalex-snapshot
Improving Automated Program Repair with Domain Adaptation
inferredcites →https://doi.org/10.1145/3631974openalex-snapshot
A Survey of Learning-based Automated Program Repair
inferredcites →https://doi.org/10.1145/3637528openalex-snapshot
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/3650203openalex-snapshot
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning
inferredcites →https://doi.org/10.1145/3650212openalex-snapshot
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis
inferredcites →https://doi.org/10.1145/3663529openalex-snapshot
Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-mainopenalex-snapshot
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.2106.05001openalex-snapshot
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10586-026-06630-8openalex-snapshot
Adversarial attack detection in resource-constrained environments: a stable and sequential federated learning architecture with TinyLlama-1.1B
inferred← citeshttps://doi.org/10.1007/s10664-025-10776-1openalex-snapshot
Performance analysis of AI-generated code: A case study of Copilot, Copilot Chat, CodeLlaMa, and DeepSeek-Coder models
inferred← citeshttps://doi.org/10.1007/s10664-026-10940-1openalex-snapshot
CGARF: a causality-guided framework for reliable automated program repair
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00024openalex-snapshot
"My productivity is boosted, but …" Demystifying Users’ Perception on AI Coding Assistants
inferred← citeshttps://doi.org/10.1109/cars67163.2025.11337281openalex-snapshot
Applying Privacy-Enhancing Technologies to LLMs in Critical Infrastructure Contexts
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00129openalex-snapshot
Federated Learning with Large Language Models
inferred← citeshttps://doi.org/10.1109/iciice69672.2026.11565213openalex-snapshot
FedRAG-FT: Drift-Aware Federated Fine-Tuning of Foundation Models for Reliable Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/tcc.2026.3663568openalex-snapshot
Lattice: An Efficient Task Placement Framework for Geographically Distributed Clouds
inferred← citeshttps://doi.org/10.1109/tnse.2026.3726288openalex-snapshot
Trustworthy Agentic Federated Learning for Multi-Level Data Imbalance in Intelligent Edge Networks
inferred← citeshttps://doi.org/10.3390/info17010073openalex-snapshot
Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support
inferred← citeshttps://doi.org/10.5753/reviews.2026.6627openalex-snapshot
Current Research and Open Gaps in Federated Large Language Models: A Systematic Review
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.