Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity Dec 27, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 00 Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network Aug 26, 2024 Federated Learning Scheduling
— Unverified 00 Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data Mar 27, 2025 Federated Learning Privacy Preserving
— Unverified 00 REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Aug 25, 2023 Federated Learning image-classification
— Unverified 00 Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Jul 22, 2024 Federated Learning Privacy Preserving
— Unverified 00 Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach Apr 8, 2020 CPU Deep Reinforcement Learning
— Unverified 00 Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges Apr 14, 2021 Federated Learning
— Unverified 00 Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Jul 20, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 00 Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients Jun 8, 2020 Federated Learning
— Unverified 00 Rethinking Client Drift in Federated Learning: A Logit Perspective Aug 20, 2023 Federated Learning
— Unverified 00 Rethinking Client Reweighting for Selfish Federated Learning Sep 29, 2021 Federated Learning image-classification
— Unverified 00 Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks Mar 5, 2024 Federated Learning
— Unverified 00 Rethinking Normalization Methods in Federated Learning Oct 7, 2022 Federated Learning
— Unverified 00 Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation Jan 29, 2024 Clustering Federated Learning
— Unverified 00 Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data Oct 28, 2023 Federated Learning image-classification
— Unverified 00 Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data Nov 29, 2024 Federated Learning
— Unverified 00 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Mar 25, 2024 Federated Learning Federated Unsupervised Learning
— Unverified 00 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Feb 3, 2024 Fairness Federated Learning
— Unverified 00 Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space Jan 1, 2024 Data Poisoning Federated Learning
— Unverified 00 Review of Mathematical Optimization in Federated Learning Dec 2, 2024 Distributed Optimization Federated Learning
— Unverified 00 Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates May 3, 2022 Federated Learning
— Unverified 00 Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Feb 8, 2024 Federated Learning Memorization
— Unverified 00 Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis Jan 8, 2025 Federated Learning Stochastic Optimization
— Unverified 00 Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Feb 3, 2023 Backdoor Attack Federated Learning
— Unverified 00 Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions Feb 27, 2025 Classification Federated Learning
— Unverified 00 Revocable Federated Learning: A Benchmark of Federated Forest Nov 8, 2019 Federated Learning
— Unverified 00 Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning Aug 27, 2023 Distributed Computing Federated Learning
— Unverified 00 Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Aug 1, 2023 Federated Learning Scheduling
— Unverified 00 REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices Sep 24, 2023 Federated Learning
— Unverified 00 Reward-Based 1-bit Compressed Federated Distillation on Blockchain Jun 27, 2021 Federated Learning Knowledge Distillation
— Unverified 00 Rewarding High-Quality Data via Influence Functions Aug 30, 2019 Federated Learning Vocal Bursts Intensity Prediction
— Unverified 00 Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning Apr 11, 2023 Federated Learning
— Unverified 00 RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Jun 1, 2023 Federated Learning Multi-Task Learning
— Unverified 00 Riemannian Federated Learning via Averaging Gradient Stream Sep 11, 2024 Federated Learning Privacy Preserving
— Unverified 00 Riemannian Low-Rank Model Compression for Federated Learning with Over-the-Air Aggregation Jun 4, 2023 Federated Learning Model Compression
— Unverified 00 RIFLES: Resource-effIcient Federated LEarning via Scheduling May 19, 2025 Federated Learning Privacy Preserving
— Unverified 00 Right Reward Right Time for Federated Learning Mar 10, 2025 Federated Learning
— Unverified 00 RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data Jul 19, 2021 Federated Learning
— Unverified 00 RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility Mar 8, 2024 Federated Learning MULTI-VIEW LEARNING
— Unverified 00 Risk-Aware Accelerated Wireless Federated Learning with Heterogeneous Clients Jan 17, 2024 Federated Learning
— Unverified 00 RLSA-PFL: Robust Lightweight Secure Aggregation with Model Inconsistency Detection in Privacy-Preserving Federated Learning Feb 13, 2025 Federated Learning Privacy Preserving
— Unverified 00 Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties Mar 28, 2023 Federated Learning Vertical Federated Learning
— Unverified 00 Robust and Personalized Federated Learning with Spurious Features: an Adversarial Approach Sep 29, 2021 Federated Learning Personalized Federated Learning
— Unverified 00 Robust Convergence in Federated Learning through Label-wise Clustering Dec 28, 2021 Clustering Federated Learning
— Unverified 00 Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Sep 18, 2020 Adversarial Robustness Federated Learning
— Unverified 00 Robust Decentralized Learning with Local Updates and Gradient Tracking May 2, 2024 Adversarial Robustness Edge-computing
— Unverified 00 RobustFed: A Truth Inference Approach for Robust Federated Learning Jul 18, 2021 Federated Learning
— Unverified 00 Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA Sep 4, 2024 Federated Learning parameter-efficient fine-tuning
— Unverified 00 Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Mar 9, 2022 Emotion Recognition Federated Learning
— Unverified 00 Robust Federated Learning against Model Perturbation in Edge Networks May 30, 2025 Federated Learning
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