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— Unverified Cross-Domain Federated Learning in Medical Imaging Dec 18, 2021 Deep Learning Federated Learning
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— Unverified An Agnostic Approach to Federated Learning with Class Imbalance Sep 29, 2021 Federated Learning
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— Unverified Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Jan 1, 2025 Distributed Computing Federated Learning
— Unverified An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Apr 29, 2024 Federated Learning
— Unverified Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Dec 3, 2018 Edge-computing Federated Learning
— Unverified An advanced data fabric architecture leveraging homomorphic encryption and federated learning Feb 15, 2024 Federated Learning Medical Image Analysis
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— Unverified Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning Jun 19, 2025 Deep Reinforcement Learning Federated Learning
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— Unverified Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Dec 3, 2022 Federated Learning image-classification
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— Unverified Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity Jul 1, 2022 BIG-bench Machine Learning Federated Learning
— Unverified Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction Dec 23, 2024 Federated Learning Knowledge Distillation
— Unverified An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning Apr 11, 2025 Federated Learning Handwritten Digit Recognition
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— Unverified Better Generative Replay for Continual Federated Learning Feb 25, 2023 Continual Learning Federated Learning
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— Unverified A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning Sep 18, 2023 Federated Learning Vertical Federated Learning
— Unverified Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models Jan 24, 2025 Federated Learning parameter-efficient fine-tuning
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— Unverified Benchmarking Mutual Information-based Loss Functions in Federated Learning Apr 16, 2025 Benchmarking Fairness
— Unverified Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data Feb 15, 2024 Benchmarking Federated Learning
— Unverified A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification Mar 13, 2025 Federated Learning image-classification
— Unverified Benchmarking Federated Machine Unlearning methods for Tabular Data Apr 1, 2025 Benchmarking Computational Efficiency
— Unverified A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications Sep 24, 2024 Anomaly Detection Federated Learning
— Unverified Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks Dec 14, 2024 Federated Learning Quantization
— Unverified CopRA: A Progressive LoRA Training Strategy Oct 30, 2024 Federated Learning Linear Mode Connectivity
— Unverified Benchmarking FedAvg and FedCurv for Image Classification Tasks Mar 31, 2023 Benchmarking Classification
— Unverified A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Jan 9, 2022 Federated Learning Multi-agent Reinforcement Learning
— Unverified AMSFL: Adaptive Multi-Step Federated Learning via Gradient Difference-Based Error Modeling May 27, 2025 Federated Learning
— Unverified Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Sep 29, 2023 Benchmarking Federated Learning
— Unverified Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning Feb 8, 2021 Federated Learning Quantization
— Unverified ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning Feb 7, 2022 BIG-bench Machine Learning Federated Learning
— Unverified CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT Mar 27, 2024 Federated Learning Representation Learning
— Unverified Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Jun 23, 2021 Federated Learning
— Unverified Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning Mar 7, 2023 Federated Learning Privacy Preserving
— Unverified Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning Jun 24, 2025 Anomaly Detection Contrastive Learning
— Unverified (Amplified) Banded Matrix Factorization: A unified approach to private training Jun 13, 2023 Federated Learning
— Unverified Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks Feb 6, 2025 Federated Learning Transfer Learning
— Unverified 