Towards Communication-Learning Trade-off for Federated Learning at the Network Edge May 27, 2022 Federated Learning Network Pruning
— Unverified Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks Mar 15, 2023 Federated Learning
— Unverified Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks Feb 22, 2023 Federated Learning Reinforcement Learning (RL)
— Unverified Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Dec 27, 2019 BIG-bench Machine Learning Cloud Computing
— Unverified Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning Jan 25, 2025 Federated Learning
— Unverified Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach Jun 21, 2024 CPU Deep Reinforcement Learning
— Unverified Toward Secure and Private Over-the-Air Federated Learning Oct 14, 2022 Federated Learning Scheduling
— Unverified Towards Effective Device-Aware Federated Learning Aug 20, 2019 Federated Learning Information Retrieval
— Unverified Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Jan 16, 2024 Federated Learning
— Unverified Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data Mar 2, 2022 Federated Learning Privacy Preserving
— Unverified Towards efficient compression and communication for prototype-based decentralized learning Nov 14, 2024 Data Compression Federated Learning
— Unverified Towards Efficient Model-Heterogeneity Federated Learning for Large Models Nov 25, 2024 Edge-computing Federated Learning
— Unverified Towards Efficient Replay in Federated Incremental Learning Mar 9, 2024 Federated Learning Incremental Learning
— Unverified Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity May 25, 2020 Federated Learning Scheduling
— Unverified Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client May 13, 2024 Federated Learning
— Unverified Towards Energy Efficient Distributed Federated Learning for 6G Networks Jan 19, 2022 Edge-computing Federated Learning
— Unverified Towards Energy Efficient Federated Learning over 5G+ Mobile Devices Jan 13, 2021 Federated Learning GPU
— Unverified Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Feb 9, 2023 Computational Efficiency Fairness
— Unverified Towards Fair Federated Learning with Zero-Shot Data Augmentation Apr 27, 2021 Data Augmentation Fairness
— Unverified Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity May 30, 2022 Fairness Federated Learning
— Unverified Towards Fairness in Provably Communication-Efficient Federated Recommender Systems May 3, 2024 Fairness Federated Learning
— Unverified Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning Feb 6, 2024 Federated Learning
— Unverified Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications Jan 29, 2022 Federated Learning
— Unverified Towards Federated Clustering: A Federated Fuzzy c-Means Algorithm (FFCM) Jan 18, 2022 Clustering Federated Learning
— Unverified Towards Federated Domain Unlearning: Verification Methodologies and Challenges Jun 5, 2024 Federated Learning Specificity
— Unverified Towards Federated Graph Learning for Collaborative Financial Crimes Detection Sep 19, 2019 Federated Learning Graph Learning
— Unverified Towards Federated Learning-Enabled Visible Light Communication in 6G Systems Oct 7, 2021 Federated Learning
— Unverified Towards Federated Learning on Time-Evolving Heterogeneous Data Dec 25, 2021 Diversity Federated Learning
— Unverified Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout Sep 11, 2023 Federated Learning Representation Learning
— Unverified Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point Jul 2, 2024 Federated Learning
— Unverified Towards Federated Long-Tailed Learning Jun 30, 2022 Federated Learning
— Unverified Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Dec 7, 2022 Fault Detection Federated Learning
— Unverified Towards Flexible Device Participation in Federated Learning Jun 12, 2020 Federated Learning
— Unverified Towards Generalizable Personalized Federated Learning with Adaptive Local Adaptation Sep 29, 2021 Federated Learning Meta-Learning
— Unverified Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset May 31, 2025 Federated Learning image-classification
— Unverified Towards Group Learning: Distributed Weighting of Experts Jun 3, 2022 Ensemble Learning Federated Learning
— Unverified Towards Heterogeneous Clients with Elastic Federated Learning Jun 17, 2021 Federated Learning
— Unverified Towards Industrial Private AI: A two-tier framework for data and model security Jul 27, 2021 Federated Learning
— Unverified Towards Interpretable Federated Learning Feb 27, 2023 Federated Learning
— Unverified Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients Oct 3, 2024 Disentanglement Federated Learning
— Unverified Toward Smart Security Enhancement of Federated Learning Networks Aug 19, 2020 Deep Reinforcement Learning Federated Learning
— Unverified Towards Model Agnostic Federated Learning Using Knowledge Distillation Oct 28, 2021 Federated Learning Knowledge Distillation
— Unverified Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling Sep 12, 2022 Data Valuation Federated Learning
— Unverified Towards More Efficient Federated Learning with Better Optimization Objects Aug 19, 2021 Federated Learning
— Unverified Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training May 24, 2023 Federated Learning Personalized Federated Learning
— Unverified Holistic analysis on the sustainability of Federated Learning across AI product lifecycle Dec 22, 2023 Federated Learning Management
— Unverified Towards Multi-Objective Statistically Fair Federated Learning Jan 24, 2022 Data Poisoning Fairness
— Unverified Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach Apr 27, 2021 Anomaly Detection Federated Learning
— Unverified Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Dec 15, 2020 Federated Learning Self-Learning
— Unverified Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Apr 7, 2025 Federated Learning
— Unverified 