Efficient Model Compression for Hierarchical Federated Learning May 27, 2024 Edge-computing Federated Learning
— Unverified 0 Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Aug 29, 2023 Federated Learning
— Unverified 0 Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks Mar 26, 2023 Edge-computing Federated Learning
— Unverified 0 Efficient Privacy Preserving Edge Computing Framework for Image Classification May 10, 2020 Classification Data Compression
— Unverified 0 Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning Feb 18, 2021 Federated Learning Multi-Task Learning
— Unverified 0 Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Apr 15, 2021 Federated Learning
— Unverified 0 Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach Jul 8, 2025 Edge-computing Federated Learning
— Unverified 0 Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout Feb 22, 2023 Diagnostic Federated Learning
— Unverified 0 Efficient Transmission of Radiomaps via Physics-Enhanced Semantic Communications Jan 18, 2025 Edge-computing Federated Learning
— Unverified 0 Efficient UAV Swarm-Based Multi-Task Federated Learning with Dynamic Task Knowledge Sharing Mar 12, 2025 Federated Learning
— Unverified 0 Efficient Unbiased Sparsification Feb 22, 2024 Federated Learning
— Unverified 0 Efficient Vertical Federated Learning with Secure Aggregation May 18, 2023 Federated Learning Fraud Detection
— Unverified 0 Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices Feb 14, 2025 Federated Learning
— Unverified 0 Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect Sep 28, 2023 Fairness Federated Learning
— Unverified 0 EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party Jan 17, 2022 Federated Learning regression
— Unverified 0 Elastic Aggregation for Federated Optimization Jan 1, 2023 Federated Learning Privacy Preserving
— Unverified 0 Elastically-Constrained Meta-Learner for Federated Learning Jun 29, 2023 Federated Learning Meta-Learning
— Unverified 0 Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Dec 28, 2024 Brain Tumor Segmentation Federated Learning
— Unverified 0 Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach Nov 15, 2024 Federated Learning Load Forecasting
— Unverified 0 Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning Feb 24, 2025 Federated Learning Load Forecasting
— Unverified 0 Eliminating Label Leakage in Tree-Based Vertical Federated Learning Jul 19, 2023 Federated Learning Inference Attack
— Unverified 0 Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs Apr 7, 2025 Computational Efficiency feature selection
— Unverified 0 Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Aug 4, 2022 Contrastive Learning Federated Learning
— Unverified 0 Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning Oct 7, 2022 Blocking Federated Learning
— Unverified 0 Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training Jun 21, 2024 Federated Learning
— Unverified 0 Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Jun 15, 2024 Federated Learning Language Modelling
— Unverified 0 Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Feb 25, 2021 Federated Learning Meta-Learning
— Unverified 0 EM for Mixture of Linear Regression with Clustered Data Aug 22, 2023 Federated Learning regression
— Unverified 0 EMO: Edge Model Overlays to Scale Model Size in Federated Learning Apr 1, 2025 Federated Learning model
— Unverified 0 Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs May 11, 2025 Emotion Recognition Fairness
— Unverified 0 Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI Mar 20, 2025 Benchmarking Fairness
— Unverified 0 Empirical Studies of Institutional Federated Learning For Natural Language Processing Nov 1, 2020 Federated Learning GPU
— Unverified 0 Employing Federated Learning for Training Autonomous HVAC Systems May 1, 2024 Federated Learning reinforcement-learning
— Unverified 0 Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms Apr 23, 2024 Deep Learning Federated Learning
— Unverified 0 Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research Jun 25, 2025 Data Integration Dimensionality Reduction
— Unverified 0 Empowering Federated Learning for Massive Models with NVIDIA FLARE Feb 12, 2024 Federated Learning
— Unverified 0 Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics Apr 15, 2024 Federated Learning
— Unverified 0 Empowering Healthcare through Privacy-Preserving MRI Analysis Mar 14, 2024 Federated Learning Privacy Preserving
— Unverified 0 Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning Apr 7, 2021 Decision Making energy trading
— Unverified 0 Emulating Full Participation: An Effective and Fair Client Selection Strategy for Federated Learning May 22, 2024 Diversity Fairness
— Unverified 0 Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision Sep 7, 2023 Edge-computing Federated Learning
— Unverified 0 Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Jun 22, 2021 Federated Learning
— Unverified 0 Enabling On-Device Training of Speech Recognition Models with Federated Dropout Oct 7, 2021 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified 0 Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications Sep 21, 2023 Federated Learning
— Unverified 0 Enabling SQL-based Training Data Debugging for Federated Learning Aug 26, 2021 Federated Learning
— Unverified 0 Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness Sep 1, 2024 Decision Making Federated Learning
— Unverified 0 Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Mar 14, 2025 Federated Learning Knowledge Distillation
— Unverified 0 EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Jun 13, 2024 Federated Learning Model Compression
— Unverified 0 Encoded Spatial Attribute in Multi-Tier Federated Learning Jan 10, 2025 Attribute Federated Learning
— Unverified 0 End-to-End on-device Federated Learning: A case study Jan 1, 2021 Autonomous Driving BIG-bench Machine Learning
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