Leveraging Learning Metrics for Improved Federated Learning Sep 1, 2023 Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
— Unverified Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises Jun 15, 2025 Causal Inference Data Integration
— Unverified Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework Jun 19, 2025 Federated Learning Two-sample testing
— Unverified Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition Sep 30, 2024 Diagnostic Federated Learning
— Unverified Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Mar 4, 2025 Federated Learning
— Unverified Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation Oct 14, 2021 Federated Learning
— Unverified L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning Nov 9, 2019 Federated Learning
— Unverified LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning May 5, 2024 Federated Learning Management
— Unverified LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Sep 29, 2021 Federated Learning
— Unverified Lightweight Federated Learning over Wireless Edge Networks Jul 13, 2025 Bayesian Optimization Federated Learning
— Unverified Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets Jul 25, 2024 Federated Learning
— Unverified Lightweight Transformer in Federated Setting for Human Activity Recognition Oct 1, 2021 Activity Recognition Federated Learning
— Unverified Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model Apr 17, 2024 Federated Learning Language Modeling
— Unverified Likelihood-based Sensor Calibration using Affine Transformation Sep 20, 2023 Federated Learning
— Unverified Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Apr 2, 2025 Federated Learning
— Unverified LINDT: Tackling Negative Federated Learning with Local Adaptation Nov 23, 2020 Federated Learning
— Unverified Linear Regression over Networks with Communication Guarantees Mar 6, 2021 Federated Learning Informativeness
— Unverified Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Jun 16, 2024 Fairness Federated Learning
— Unverified Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation Jul 9, 2021 Federated Learning
— Unverified LLMs meet Federated Learning for Scalable and Secure IoT Management Apr 22, 2025 Computational Efficiency Decision Making
— Unverified Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning Jun 11, 2025 Federated Learning global-optimization
— Unverified LoByITFL: Low Communication Secure and Private Federated Learning May 29, 2024 Federated Learning
— Unverified Local Adaptivity in Federated Learning: Convergence and Consistency Jun 4, 2021 Federated Learning
— Unverified Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Apr 17, 2025 Benchmarking Federated Learning
— Unverified Local Differential Privacy based Federated Learning for Internet of Things Apr 19, 2020 BIG-bench Machine Learning Federated Learning
— Unverified Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy Feb 12, 2025 Denoising Federated Learning
— Unverified Local Environment Poisoning Attacks on Federated Reinforcement Learning Mar 5, 2023 Federated Learning OpenAI Gym
— Unverified Locally Differentially Private Online Federated Learning With Correlated Noise Nov 27, 2024 Federated Learning
— Unverified Local Methods with Adaptivity via Scaling Jun 2, 2024 Distributed Optimization Federated Learning
— Unverified Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Nov 26, 2019 BIG-bench Machine Learning Data Poisoning
— Unverified Local Model Reconstruction Attacks in Federated Learning and their Uses Oct 28, 2022 Attribute Earnings Classification
— Unverified Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels Jul 17, 2023 Federated Learning Pseudo Label
— Unverified Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms Oct 25, 2020 Distributed Optimization Federated Learning
— Unverified Local SGD: Unified Theory and New Efficient Methods Nov 3, 2020 Federated Learning
— Unverified Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms Jun 24, 2020 Federated Learning reinforcement-learning
— Unverified Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction May 3, 2022 BIG-bench Machine Learning Bilevel Optimization
— Unverified Location Leakage in Federated Signal Maps Dec 7, 2021 Federated Learning
— Unverified LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing Nov 28, 2020 Edge-computing Federated Learning
— Unverified LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Mar 7, 2024 Distributed Optimization Federated Learning
— Unverified Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Apr 10, 2024 Adversarial Robustness Federated Learning
— Unverified Logits Poisoning Attack in Federated Distillation Jan 8, 2024 Federated Learning Knowledge Distillation
— Unverified LoLaFL: Low-Latency Federated Learning via Forward-only Propagation Dec 19, 2024 Federated Learning
— Unverified LoMar: A Local Defense Against Poisoning Attack on Federated Learning Jan 8, 2022 Density Estimation Edge-computing
— Unverified Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning Jan 3, 2025 Federated Learning Personalized Federated Learning
— Unverified Loosely Coupled Federated Learning Over Generative Models Sep 28, 2020 BIG-bench Machine Learning Federated Learning
— Unverified LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement Nov 22, 2024 Federated Learning parameter-efficient fine-tuning
— Unverified LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization Dec 15, 2021 Federated Learning
— Unverified Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification May 29, 2025 Federated Learning Privacy Preserving
— Unverified Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning Jan 8, 2025 Federated Learning Privacy Preserving
— Unverified Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning Apr 21, 2020 Denoising Federated Learning
— Unverified 