{"total":66,"rows":[{"id":"2105.10056","title":"Data-Free Knowledge Distillation for Heterogeneous Federated Learning","created":"2021-05-20","cited_by_count":383,"area":"distill"},{"id":"2203.09249","title":"Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning","created":"2022-03-17","cited_by_count":172,"area":"distill"},{"id":"2310.05077","title":"FedFed: Feature Distillation against Data Heterogeneity in Federated Learning","created":"2023-10-08","cited_by_count":54,"area":"distill"},{"id":"2209.04599","title":"Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation","created":"2022-09-10","cited_by_count":45,"area":"distill"},{"id":"2207.09158","title":"FedX: Unsupervised Federated Learning with Cross Knowledge Distillation","created":"2022-07-19","cited_by_count":40,"area":"distill"},{"id":"2206.08516","title":"MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare","created":"2022-06-17","cited_by_count":37,"area":"distill"},{"id":"2107.13892","title":"QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning","created":"2021-07-29","cited_by_count":32,"area":"distill"},{"id":"2107.00051","title":"Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data","created":"2021-06-30","cited_by_count":31,"area":"distill"},{"id":"2211.04742","title":"Knowledge Distillation for Federated Learning: a Practical Guide","created":"2022-11-09","cited_by_count":31,"area":"distill"},{"id":"2404.14061","title":"FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning","created":"2024-04-22","cited_by_count":27,"area":"distill"},{"id":"2301.08968","title":"The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation","created":"2023-01-21","cited_by_count":25,"area":"distill"},{"id":"2304.01731","title":"Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher","created":"2023-04-04","cited_by_count":25,"area":"distill"},{"id":"2301.00389","title":"FedICT: Federated Multi-task Distillation for Multi-access Edge Computing","created":"2023-01-01","cited_by_count":17,"area":"distill"},{"id":"2201.03169","title":"FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks","created":"2022-01-10","cited_by_count":12,"area":"distill"},{"id":"2303.07113","title":"FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection","created":"2023-03-10","cited_by_count":12,"area":"distill"},{"id":"2312.12703","title":"Federated Learning with Extremely Noisy Clients via Negative Distillation","created":"2023-12-20","cited_by_count":12,"area":"distill"},{"id":"2205.00706","title":"FedDKD: Federated Learning with Decentralized Knowledge Distillation","created":"2022-05-02","cited_by_count":9,"area":"distill"},{"id":"2406.10861","title":"Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions","created":"2024-06-16","cited_by_count":9,"area":"distill"},{"id":"2110.02432","title":"KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks","created":"2021-10-06","cited_by_count":8,"area":"distill"},{"id":"2501.04066","title":"Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection","created":"2025-01-07","cited_by_count":8,"area":"distill"},{"id":"2308.03275","title":"Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization","created":"2023-08-07","cited_by_count":6,"area":"distill"},{"id":"2203.05984","title":"Deep Class Incremental Learning from Decentralized Data","created":"2022-03-11","cited_by_count":4,"area":"distill"},{"id":"2301.10114","title":"When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA","created":"2023-01-24","cited_by_count":4,"area":"distill"},{"id":"2306.14443","title":"Federated Learning on Non-iid Data via Local and Global Distillation","created":"2023-06-26","cited_by_count":4,"area":"distill"},{"id":"2309.08961","title":"UNIDEAL: Curriculum Knowledge Distillation Federated Learning","created":"2023-09-16","cited_by_count":4,"area":"distill"},{"id":"2401.00622","title":"Federated Class-Incremental Learning with New-Class Augmented Self-Distillation","created":"2024-01-01","cited_by_count":4,"area":"distill"},{"id":"2504.14694","title":"Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data","created":"2025-04-20","cited_by_count":4,"area":"distill"},{"id":"2209.14520","title":"Label driven Knowledge Distillation for Federated Learning with non-IID Data","created":"2022-09-29","cited_by_count":3,"area":"distill"},{"id":"2211.10943","title":"Scalable Collaborative Learning via Representation Sharing","created":"2022-11-20","cited_by_count":3,"area":"distill"},{"id":"2402.10846","title":"FedD2S: Personalized Data-Free Federated Knowledge Distillation","created":"2024-02-16","cited_by_count":3,"area":"distill"},{"id":"2405.17267","title":"FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation","created":"2024-05-27","cited_by_count":3,"area":"distill"},{"id":"2406.02355","title":"FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning","created":"2024-06-04","cited_by_count":2,"area":"distill"},{"id":"2409.06955","title":"Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator","created":"2024-09-11","cited_by_count":2,"area":"distill"},{"id":"2409.19912","title":"HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning","created":"2024-09-30","cited_by_count":2,"area":"distill"},{"id":"2411.10071","title":"Evidential Federated Learning for Skin Lesion Image Classification","created":"2024-11-15","cited_by_count":2,"area":"distill"},{"id":"2412.19354","title":"Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks","created":"2024-12-26","cited_by_count":2,"area":"distill"},{"id":"2504.04081","title":"Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible","created":"2025-04-05","cited_by_count":2,"area":"distill"},{"id":"2507.08617","title":"Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift","created":"2025-07-11","cited_by_count":2,"area":"distill"},{"id":"2603.20296","title":"Collaborative Adaptive Curriculum for Progressive Knowledge Distillation","created":"2026-03-19","cited_by_count":2,"area":"distill"},{"id":"2210.02190","title":"Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning","created":"2022-10-04","cited_by_count":1,"area":"distill"},{"id":"2305.19600","title":"Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning","created":"2023-05-31","cited_by_count":1,"area":"distill"},{"id":"2308.00155","title":"Federated Learning for Data and Model Heterogeneity in Medical Imaging","created":"2023-07-31","cited_by_count":1,"area":"distill"},{"id":"2312.17029","title":"FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning","created":"2023-12-28","cited_by_count":1,"area":"distill"},{"id":"2407.18039","title":"Peak-Controlled Logits Poisoning Attack in Federated Distillation","created":"2024-07-25","cited_by_count":1,"area":"distill"},{"id":"2411.03569","title":"Towards Personalized Federated Learning via Comprehensive Knowledge Distillation","created":"2024-11-06","cited_by_count":1,"area":"distill"},{"id":"2412.00410","title":"Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence","created":"2024-11-30","cited_by_count":1,"area":"distill"},{"id":"2503.18981","title":"FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification","created":"2025-03-23","cited_by_count":1,"area":"distill"},{"id":"2506.20431","title":"Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation","created":"2025-06-25","cited_by_count":1,"area":"distill"},{"id":"2512.10443","title":"Clustered Federated Learning with Hierarchical Knowledge Distillation","created":"2025-12-11","cited_by_count":1,"area":"distill"},{"id":"2207.11447","title":"Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion","created":"2022-07-23","cited_by_count":0,"area":"distill"},{"id":"2310.02549","title":"Heterogeneous Federated Learning Using Knowledge Codistillation","created":"2023-10-04","cited_by_count":0,"area":"distill"},{"id":"2402.09095","title":"FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning","created":"2024-02-14","cited_by_count":0,"area":"distill"},{"id":"2409.19741","title":"Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation","created":"2024-09-29","cited_by_count":0,"area":"distill"},{"id":"2504.04642","title":"A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss","created":"2025-04-06","cited_by_count":0,"area":"distill"},{"id":"2507.08508","title":"SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation","created":"2025-07-11","cited_by_count":0,"area":"distill"},{"id":"2507.23461","title":"Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection","created":"2025-07-31","cited_by_count":0,"area":"distill"},{"id":"2508.13625","title":"Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models","created":"2025-08-19","cited_by_count":0,"area":"distill"},{"id":"2601.04587","title":"FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems","created":"2026-01-08","cited_by_count":0,"area":"distill"},{"id":"2603.04422","title":"FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning","created":"2026-02-15","cited_by_count":0,"area":"distill"},{"id":"2603.07774","title":"Geometric Knowledge-Assisted Federated Dual Knowledge Distillation Approach Towards Remote Sensing Satellite Imagery","created":"2026-03-08","cited_by_count":0,"area":"distill"},{"id":"2605.05553","title":"FedeKD: Energy-Based Gating for Robust Federated Knowledge Distillation under Heterogeneous Settings","created":"2026-05-07","cited_by_count":0,"area":"distill"},{"id":"2605.21322","title":"Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search","created":"2026-05-20","cited_by_count":0,"area":"distill"},{"id":"2606.01607","title":"FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment","created":"2026-06-01","cited_by_count":0,"area":"distill"},{"id":"2609.01952","title":"Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network","created":"2026-09-01","cited_by_count":0,"area":"distill"},{"id":"2609.17284","title":"Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation","created":"2026-09-15","cited_by_count":0,"area":"distill"},{"id":"2609.32239","title":"Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation","created":"2026-09-26","cited_by_count":0,"area":"distill"}],"next_cursor":null}