Federated Fine-Tuning

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Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Federated Fine-Tuning.

Period ending 2026-09-07

1 new paper

A weekly snapshot of new work published in Federated Fine-Tuning.

73 papers

Latest in Federated Fine-Tuning

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  1. EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression

    Sep 11, 2026Motahare Mounesan, Irfan KhanIntelligent EdgeLarge Multimodal Models

  2. OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis

    Sep 9, 2026Ayush Debnath, Ruelia Saha, Sudip MisraMultimodal Clinical DataFederated Fine-Tuning

  3. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Federated Fine-TuningLarge Language Model Fine-Tuning

  4. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Federated Fine-TuningHeterogeneity

  5. Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture

    Aug 31, 2026Malhar Udmale, Divyanshu Dwivedi, Aarohi Dhand +3Lesion SegmentationSwin

  6. SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks

    Aug 10, 2026Yue Xia, Tayyebeh Jahani-Nezhad, Mayank Bakshi +1Federated Fine-TuningArtificial Neural Networks

  7. Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

    Aug 10, 2026Xinyi Xu, Bingnan Xiao, Shuang Qin +2Standard Low-Rank AdaptationFederated Fine-Tuning

  8. Multimodal Federated Learning under Dual-Axis Modality Missingness

    Aug 10, 2026Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin +5Federated Fine-TuningMissing Modalities

  9. On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

    Aug 5, 2026Simon Lösche, Barış Büyüktaş, Mathis Adler +3Federated Fine-TuningVision-Language Model Adaptation

  10. Personalized Federated Sparse Adaptation of Time-Series Foundation Models

    Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Time Series Foundation ModelsFederated Fine-Tuning

  11. FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation

    Aug 4, 2026Shenghui Li, Thiemo VoigtFederated Fine-TuningLarge Language Model Compression

  12. Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated Learning

    Aug 3, 2026Seongyoon Kim, Boryeong Cho, Jihwan Oh +2Federated Fine-TuningLarge Language Model Personalization

  13. MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning

    Aug 2, 2026Hasin Us Sami, Swapneel Sen, Basak GulerFederated Fine-TuningParameter-Efficient Fine-Tuning Methods

  14. FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting

    Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation ModelsFederated Fine-Tuning

  15. Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients

    Jul 31, 2026Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5Federated Fine-TuningFedavg

  16. TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement

    Jul 30, 2026Cheng WeiModel-Agnostic DefenseFederated Fine-Tuning

  17. FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

    Jul 29, 2026Donghang Duan, Xu Zheng, Lizong Zhang +2Federated Fine-TuningHeterogeneity

  18. FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities

    Jul 25, 2026Haochen Liang, Jie Zhang, Hideya OchiaiFederated Fine-TuningMissing Modalities

  19. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6Federated Fine-TuningSoft Prompt Tuning

  20. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassFederated Fine-TuningLow-Rank Adapters

  21. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidFederated Fine-TuningParameter-Efficient Fine-Tuning Methods

  22. Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation

    Jul 20, 2026Claudia Grosser, Maike Heuer, Denis Krompass +1Federated Fine-TuningDownstream Fine-Tuning

  23. Federated Lightweight Fine-Tuning

    Jul 20, 2026Radhakrishna Achanta, Will ReedFederated Fine-TuningParameter-Efficient Fine-Tuning Methods

  24. Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

    Jul 15, 2026Haobo Zhang, Jiankun Wang, Suraj Rajendran +5Federated Fine-TuningSynthetic Training Data

  25. FM^2: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging

    Jul 15, 2026Shengchao Chen, Ting ShuFederated Fine-TuningMultimodal Foundation Model

  26. Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning

    Jul 13, 2026Jing Liu, Chenxuanyin Zou, Jiayang Ren +5Federated Fine-TuningLarge Multimodal Models

  27. PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

    Jul 13, 2026Jing Liu, Kun Yang, Yan Wang +5Federated Fine-TuningIntelligent Edge

  28. Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices

    Jul 7, 2026Quoc Bao Phan, Tuy Tan NguyenFederated Fine-TuningEdge Computing

  29. ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

    Jul 7, 2026Aavash Chhetri, Bibek Niroula, Eduard Vazquez +4Missing ModalitiesFederated Fine-Tuning

  30. FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity

    Jul 4, 2026Shuai Li, Qinglin Wang, Ping Luo +8Federated Fine-TuningFedavg

  31. Can Model Merging Improve Aggregation in DiLoCo?

    Jul 3, 2026Stefan Horoi, Benjamin Thérien, Guy Wolf +1Continual Model MergingModel Merging

  32. Subspace-Constrained Federated Learning with Low-Rank Adaptation

    Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated Fine-TuningRegularization Methods

  33. PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Federated Fine-TuningLow-Rank Adaptation Experts

  34. Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts

    Jun 14, 2026Yijun Lu, Zihan Fang, Pengpeng Qiao +6Federated Fine-Tuning

  35. MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning

    Jun 12, 2026Xiaobo Zhao, Daniel E. LucaniFederated Fine-TuningWireless Resource Allocation

  36. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Federated Fine-TuningParameter-Efficient Fine-Tuning Methods

  37. Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation

    Jun 7, 2026Xingyue Zhao, Wenke Huang, Linghao Zhuang +7Federated Fine-TuningMedical Image Segmentation

  38. AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments

    Jun 6, 2026Yan Wang, Ziyi Gao, Rui WangFederated Fine-TuningValue Alignment

  39. Federated Foundation Models over Vehicular Networks

    Jun 5, 2026Kasra Borazjani, Fardis Nadimi, Payam Abdisarabshali +5Federated Fine-TuningAutonomous Driving

  40. Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models

    Jun 4, 2026Sunny Gupta, Shambhavi Shanker, Amit SethiFederated Fine-TuningAdaptive-Rank Low-Rank Adaptation Baselines

  41. Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries

    Jun 1, 2026Hina Dixit, Punit Kumar, Irene Tenison +1Federated Fine-TuningSecure Aggregation

  42. Boosting Multimodal Federated Learning via Chained Modality Optimization

    Jun 1, 2026Zixin Zhang, Fan Qi, Shuai Li +2Federated Fine-TuningFedavg

  43. GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning

    May 31, 2026Daniel M. Jimenez-Gutierrez, Albenzio Cirillo, Raffaele Nicolussi +2Privacy-Preserving FrameworkFederated Fine-Tuning

  44. FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation

    May 28, 2026Zehao Wang, Guanglei Yang, Yihan Zeng +4Federated Fine-TuningWireless Foundation Models

  45. FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models

    May 27, 2026Xucong Wang, Pengkun Wang, Zhe Zhao +3Federated Fine-TuningMulti-Label Classification

  46. Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning

    May 27, 2026Yuting Ma, Lechao Cheng, Xiaohua XuFederated Fine-TuningPre-Trained Vision-Language Models

  47. Heterogeneous Parallelism for Multimodal Large Language Model Training

    May 26, 2026Yashaswi Karnati, Kamran Jafari, Akash Mehra +10Large Multimodal ModelsParallel Decoding and Training

  48. Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment

    May 20, 2026Shuaida He, Liwen Chen, Long FengFederated Fine-Tuning

  49. FedSDR: Federated Self-Distillation with Rectification

    May 18, 2026Ziheng Ren, Zhanming Shen, Hao Wang +2Federated Fine-TuningRectification

  50. TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks

    May 17, 2026Xianke Qiang, Zheng Chang, Li Wang +1Edge ComputingFederated Fine-Tuning

  51. Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning

    May 13, 2026Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris +3Federated Fine-TuningPrivacy-Preserving Framework

  52. Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs

    May 12, 2026Amr Abourayya, Jens Kleesiek, Michael KampFederated Fine-TuningLarge Language Model Fine-Tuning

  53. Concordia: Self-Improving Synthetic Tables for Federated LLMs

    May 11, 2026Jimin Huang, Duanyu Feng, Nuo Chen +8Federated Fine-TuningLarge Language Model Adaptation

  54. M^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Robust Federated LearningFederated Fine-Tuning

  55. EdgeFlowerTune: Evaluating Federated LLM Fine-Tuning Under Realistic Edge System Constraints

    May 9, 2026Jiaxiang Geng, Yiyi Lu, Lunyu Zhao +3Federated Fine-TuningLarge Language Model Fine-Tuning

  56. Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback

    May 8, 2026Seohyun Lee, Wenzhi Fang, Dong-Jun Han +2Federated Fine-TuningSelf-Play

  57. Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs

    May 8, 2026Hanlin Cai, Kai Li, Houtianfu Wang +4Federated Fine-TuningLarge Language Model Fine-Tuning

  58. FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning

    May 7, 2026Su Zhang, Junfeng Guo, Heng HuangFederated Fine-TuningFeature Attribution

  59. Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA

    May 7, 2026Jinqian Chen, Chang Liu, Jihua ZhuFederated Fine-TuningLow-Rank Factorization

  60. Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated Fine-TuningImagenet