Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Nov 21, 2022 Federated Learning Out-of-Distribution Generalization
— Unverified 0 Exploiting Unlabeled Data in Smart Cities using Federated Learning Jan 10, 2020 Federated Learning
— Unverified 0 Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data Apr 29, 2022 Federated Learning
— Unverified 0 Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III Feb 8, 2023 Diagnostic Federated Learning
— Unverified 0 Exploring adversarial attacks in federated learning for medical imaging Oct 10, 2023 Federated Learning Medical Image Analysis
— Unverified 0 Exploring Age-of-Information Weighting in Federated Learning under Data Heterogeneity May 24, 2024 Federated Learning
— Unverified 0 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks May 21, 2024 Federated Learning
— Unverified 0 Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data Feb 14, 2024 Federated Learning
— Unverified 0 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Oct 4, 2023 Federated Learning
— Unverified 0 Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding Feb 5, 2024 Federated Learning Retrieval
— Unverified 0 Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training Oct 8, 2021 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified 0 Exploring Lightweight Federated Learning for Distributed Load Forecasting Apr 4, 2024 Federated Learning Load Forecasting
— Unverified 0 Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations Nov 17, 2023 Decision Making Federated Learning
— Unverified 0 Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model May 6, 2023 Diversity Federated Learning
— Unverified 0 Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning Oct 4, 2022 Federated Learning parameter-efficient fine-tuning
— Unverified 0 Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos Apr 1, 2025 Federated Learning Personalized Federated Learning
— Unverified 0 Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation Jan 30, 2025 Decision Making Federated Learning
— Unverified 0 Differentially Private Federated Learning with Laplacian Smoothing May 1, 2020 Federated Learning
— Unverified 0 Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation May 6, 2024 Continual Learning Federated Learning
— Unverified 0 Exploring the Possibility of TypiClust for Low-Budget Federated Active Learning May 26, 2025 Active Learning Federated Learning
— Unverified 0 Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective May 30, 2024 Federated Learning Privacy Preserving
— Unverified 0 Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning Nov 15, 2023 Federated Learning
— Unverified 0 Exploring the Robustness of Decentralized Training for Large Language Models Dec 1, 2023 Federated Learning
— Unverified 0 Expressive variational quantum circuits provide inherent privacy in federated learning Sep 22, 2023 Federated Learning Quantum Machine Learning
— Unverified 0 Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition Mar 11, 2025 Federated Learning
— Unverified 0 Extracting Spatiotemporal Data from Gradients with Large Language Models Oct 21, 2024 Federated Learning Language Modelling
— Unverified 0 F^2ed-Learning: Good Fences Make Good Neighbors Jan 1, 2021 Federated Learning
— Unverified 0 Towards Bidirectional Protection in Federated Learning Oct 2, 2020 Federated Learning
— Unverified 0 F^3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics Nov 17, 2024 Diversity Federated Learning
— Unverified 0 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics Jan 1, 2025 Diversity Federated Learning
— Unverified 0 Facebook Report on Privacy of fNIRS data Jan 1, 2024 Federated Learning Privacy Preserving
— Unverified 0 Fact-based Agent modeling for Multi-Agent Reinforcement Learning Oct 18, 2023 Federated Learning Multi-agent Reinforcement Learning
— Unverified 0 Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Dec 7, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching Feb 1, 2022 Federated Learning Personalized Federated Learning
— Unverified 0 FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices Sep 8, 2022 Adversarial Robustness Federated Learning
— Unverified 0 FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Nov 28, 2018 BIG-bench Machine Learning Deep Learning
— Unverified 0 FadMan: Federated Anomaly Detection across Multiple Attributed Networks May 27, 2022 Anomaly Detection Data Integration
— Unverified 0 FAGH: Accelerating Federated Learning with Approximated Global Hessian Mar 16, 2024 Federated Learning
— Unverified 0 ResiliNet: Failure-Resilient Inference in Distributed Neural Networks Feb 18, 2020 Federated Learning
— Unverified 0 Failure Prediction in Production Line Based on Federated Learning: An Empirical Study Jan 25, 2021 Federated Learning
— Unverified 0 Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Mar 23, 2023 Anomaly Detection Federated Learning
— Unverified 0 Fair and efficient contribution valuation for vertical federated learning Jan 7, 2022 Fairness Federated Learning
— Unverified 0 FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning Jun 26, 2022 Federated Learning Malicious Detection
— Unverified 0 Fair Concurrent Training of Multiple Models in Federated Learning Apr 22, 2024 Fairness Federated Learning
— Unverified 0 Fair Differentially Private Federated Learning Framework May 23, 2023 Fairness Federated Learning
— Unverified 0 Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge May 22, 2024 breast density classification Federated Learning
— Unverified 0 FairFed: Enabling Group Fairness in Federated Learning Oct 2, 2021 Decision Making Fairness
— Unverified 0 Fair Federated Medical Image Segmentation via Client Contribution Estimation Mar 29, 2023 Fairness Federated Learning
— Unverified 0 Fairness and Accuracy in Federated Learning Dec 18, 2020 Fairness Federated Learning
— Unverified 0 Fairness and Effectiveness in Federated Learning on Non-independent and Identically Distributed Data Jan 1, 2023 Fairness Federated Learning
— Unverified 0 