Towards Practical Few-shot Federated NLP Dec 1, 2022 Data Augmentation Federated Learning
— Unverified 00 AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation May 11, 2025 Data Augmentation Federated Learning
— Unverified 00 A Unified Analysis of Federated Learning with Arbitrary Client Participation May 26, 2022 Federated Learning
— Unverified 00 A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond Jan 27, 2025 Federated Learning
— Unverified 00 A Unified Knowledge Distillation Framework for Deep Directed Graphical Models Sep 29, 2021 Continual Learning Federated Learning
— Unverified 00 A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Jul 5, 2024 Federated Learning Navigate
— Unverified 00 Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation Apr 20, 2021 Federated Learning Image Segmentation
— Unverified 00 AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving Feb 17, 2023 Autonomous Driving Autonomous Vehicles
— Unverified 00 Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Mar 12, 2022 Federated Learning Hyperparameter Optimization
— Unverified 00 AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Jul 16, 2021 Federated Learning
— Unverified 00 Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence Mar 23, 2023 Federated Learning Meta-Learning
— Unverified 00 Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models Apr 9, 2024 Federated Learning parameter-efficient fine-tuning
— Unverified 00 Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Sep 28, 2020 Automated Pancreas Segmentation Deep Learning
— Unverified 00 Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey Mar 2, 2024 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified 00 Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Sep 29, 2021 Federated Learning
— Unverified 00 AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning Dec 20, 2024 Federated Learning
— Unverified 00 Auxo: Efficient Federated Learning via Scalable Client Clustering Oct 29, 2022 Clustering Federated Learning
— Unverified 00 AVDDPG: Federated reinforcement learning applied to autonomous platoon control Jul 5, 2022 Federated Learning reinforcement-learning
— Unverified 00 A Vertical Federated Learning Framework for Horizontally Partitioned Labels Jun 18, 2021 Federated Learning Vertical Federated Learning
— Unverified 00 A Vertical Federated Learning Framework for Graph Convolutional Network Jun 22, 2021 Federated Learning Graph Neural Network
— Unverified 00 A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring Sep 14, 2020 Federated Learning Management
— Unverified 00 A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS Nov 17, 2021 Federated Learning Vertical Federated Learning
— Unverified 00 Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations Jun 6, 2023 Federated Learning
— Unverified 00 Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data May 26, 2025 Federated Learning Transfer Learning
— Unverified 00 A Web-Based Solution for Federated Learning with LLM-Based Automation Aug 23, 2024 CPU Federated Learning
— Unverified 00 A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity Jun 11, 2025 Federated Learning
— Unverified 00 B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction Oct 23, 2023 Federated Learning Prediction
— Unverified 00 Information-Geometric Barycenters for Bayesian Federated Learning Dec 16, 2024 Bayesian Inference Distributed Optimization
— Unverified 00 Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Oct 19, 2022 Backdoor Attack Data Augmentation
— Unverified 00 Backdoor Attack on Vertical Federated Graph Neural Network Learning Oct 15, 2024 Backdoor Attack Federated Learning
— Unverified 00 Backdoor attacks and defenses in feature-partitioned collaborative learning Jul 7, 2020 Federated Learning
— Unverified 00 Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Mar 3, 2023 Backdoor Attack Federated Learning
— Unverified 00 Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Apr 29, 2022 Federated Learning Model Poisoning
— Unverified 00 Backdoor Attacks in Peer-to-Peer Federated Learning Jan 23, 2023 Backdoor Attack Federated Learning
— Unverified 00 Backdoor Attacks on Federated Meta-Learning Jun 12, 2020 Federated Learning Meta-Learning
— Unverified 00 Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection Feb 21, 2022 backdoor defense Federated Learning
— Unverified 00 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Aug 8, 2023 Backdoor Attack Federated Learning
— Unverified 00 BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks Nov 1, 2024 Fairness Federated Learning
— Unverified 00 Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Jan 22, 2025 Federated Learning Personalized Federated Learning
— Unverified 00 BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Jun 18, 2024 Data Poisoning Federated Learning
— Unverified 00 BadSFL: Backdoor Attack against Scaffold Federated Learning Nov 25, 2024 Backdoor Attack Federated Learning
— Unverified 00 BadVFL: Backdoor Attacks in Vertical Federated Learning Apr 18, 2023 Backdoor Attack Federated Learning
— Unverified 00 BaFFLe: Backdoor detection via Feedback-based Federated Learning Nov 4, 2020 Federated Learning Model Poisoning
— Unverified 00 BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS Jan 1, 2021 Federated Learning image-classification
— Unverified 00 Balanced Multi-modal Federated Learning via Cross-Modal Infiltration Dec 31, 2023 Distributed Computing Federated Learning
— Unverified 00 Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning Jul 17, 2022 Federated Learning Robust Design
— Unverified 00 Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures Jun 29, 2023 Federated Learning Transfer Learning
— Unverified 00 Balancing Client Participation in Federated Learning Using AoI May 8, 2025 Federated Learning Scheduling
— Unverified 00 Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning Dec 22, 2023 Federated Learning
— Unverified 00 FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation May 9, 2023 Data Poisoning Federated Learning
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