Towards Generalizable Personalized Federated Learning with Adaptive Local Adaptation Sep 29, 2021 Federated Learning Meta-Learning
— Unverified 0 Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset May 31, 2025 Federated Learning image-classification
— Unverified 0 Towards Group Learning: Distributed Weighting of Experts Jun 3, 2022 Ensemble Learning Federated Learning
— Unverified 0 Towards Heterogeneous Clients with Elastic Federated Learning Jun 17, 2021 Federated Learning
— Unverified 0 Towards Industrial Private AI: A two-tier framework for data and model security Jul 27, 2021 Federated Learning
— Unverified 0 Towards Interpretable Federated Learning Feb 27, 2023 Federated Learning
— Unverified 0 Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients Oct 3, 2024 Disentanglement Federated Learning
— Unverified 0 Toward Smart Security Enhancement of Federated Learning Networks Aug 19, 2020 Deep Reinforcement Learning Federated Learning
— Unverified 0 Towards Model Agnostic Federated Learning Using Knowledge Distillation Oct 28, 2021 Federated Learning Knowledge Distillation
— Unverified 0 Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling Sep 12, 2022 Data Valuation Federated Learning
— Unverified 0 Towards More Efficient Federated Learning with Better Optimization Objects Aug 19, 2021 Federated Learning
— Unverified 0 Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training May 24, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Holistic analysis on the sustainability of Federated Learning across AI product lifecycle Dec 22, 2023 Federated Learning Management
— Unverified 0 Towards Multi-Objective Statistically Fair Federated Learning Jan 24, 2022 Data Poisoning Fairness
— Unverified 0 Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach Apr 27, 2021 Anomaly Detection Federated Learning
— Unverified 0 Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning Dec 15, 2020 Federated Learning Self-Learning
— Unverified 0 Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Apr 7, 2025 Federated Learning
— Unverified 0 Towards Personalized Federated Learning Mar 1, 2021 Benchmarking Federated Learning
— Unverified 0 Towards Personalized Federated Learning via Comprehensive Knowledge Distillation Nov 6, 2024 Federated Learning Knowledge Distillation
— Unverified 0 Towards Personalized Federated Multi-Scenario Multi-Task Recommendation Jun 27, 2024 Federated Learning Mixture-of-Experts
— Unverified 0 Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach May 23, 2024 Federated Learning
— Unverified 0 Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture Nov 14, 2021 Federated Learning Privacy Preserving
— Unverified 0 Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning Mar 16, 2025 Federated Learning Privacy Preserving
— Unverified 0 Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Dec 1, 2024 Federated Learning image-classification
— Unverified 0 Towards Quantum-Enabled 6G Slicing Oct 21, 2022 Deep Reinforcement Learning Federated Learning
— Unverified 0 Towards Quantum Federated Learning Jun 16, 2023 Federated Learning
— Unverified 0 Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data Dec 16, 2023 Federated Learning
— Unverified 0 Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis Nov 6, 2024 Anomaly Detection Federated Learning
— Unverified 0 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients Oct 30, 2024 Federated Learning
— Unverified 0 Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing Aug 19, 2024 Federated Learning image-classification
— Unverified 0 Towards Robust Federated Learning via Logits Calibration on Non-IID Data Mar 5, 2024 Federated Learning Privacy Preserving
— Unverified 0 Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach Oct 17, 2024 Earth Observation Federated Learning
— Unverified 0 Towards Scalable Wireless Federated Learning: Challenges and Solutions Oct 8, 2023 Federated Learning Privacy Preserving
— Unverified 0 Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning Jul 4, 2021 Federated Learning Scheduling
— Unverified 0 Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology Feb 13, 2025 Decision Making Federated Learning
— Unverified 0 Towards Sparsified Federated Neuroimaging Models via Weight Pruning Aug 24, 2022 Federated Learning
— Unverified 0 Towards Sybil Resilience in Decentralized Learning Jun 26, 2023 Adversarial Attack Federated Learning
— Unverified 0 Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Feb 23, 2022 Federated Learning Meta-Learning
— Unverified 0 Towards Trustworthy Federated Learning Mar 5, 2025 Fairness Federated Learning
— Unverified 0 Towards Trustworthy Federated Learning with Untrusted Participants May 3, 2025 Federated Learning
— Unverified 0 Towards Ubiquitous AI in 6G with Federated Learning Apr 26, 2020 Federated Learning
— Unverified 0 Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning May 17, 2021 Clustering Domain Adaptation
— Unverified 0 Towards Verifiable Federated Learning Feb 15, 2022 Federated Learning
— Unverified 0 Towards Zero-trust Security for the Metaverse Feb 17, 2023 Federated Learning
— Unverified 0 Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Nov 30, 2023 Fairness Federated Learning
— Unverified 0 Toward Understanding the Influence of Individual Clients in Federated Learning Dec 20, 2020 Federated Learning
— Unverified 0 TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic Oct 16, 2024 Decision Making Federated Learning
— Unverified 0 Traceable Black-box Watermarks for Federated Learning May 19, 2025 Federated Learning
— Unverified 0 Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Jul 9, 2024 Federated Learning
— Unverified 0 Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning Sep 11, 2020 Federated Learning
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