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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-11748-0openalex-snapshot
Federated and Transfer Learning
inferredcites →https://doi.org/10.1016/j.jpdc.2017.05.007openalex-snapshot
GCHAR: An efficient Group-based Context—aware human activity recognition on smartphone
inferredcites →https://doi.org/10.1038/s41746-021-00514-4openalex-snapshot
A systematic review of smartphone-based human activity recognition methods for health research
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378161openalex-snapshot
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00993openalex-snapshot
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01819openalex-snapshot
AdaFace: Quality Adaptive Margin for Face Recognition
inferredcites →https://doi.org/10.1109/icc.2019.8761315openalex-snapshot
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
inferredcites →https://doi.org/10.1109/icde55515.2023.00164openalex-snapshot
Distribution-Regularized Federated Learning on Non-IID Data
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207469openalex-snapshot
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
inferredcites →https://doi.org/10.1109/iotm.004.2100182openalex-snapshot
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities
inferredcites →https://doi.org/10.1109/iv51971.2022.9827020openalex-snapshot
Deep Federated Learning for Autonomous Driving
inferredcites →https://doi.org/10.1109/jiot.2023.3254052openalex-snapshot
FedFTHA: A Fine-Tuning and Head Aggregation Method in Federated Learning
inferredcites →https://doi.org/10.1109/jsac.2021.3118402openalex-snapshot
Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation
inferredcites →https://doi.org/10.1109/jsac.2021.3118435openalex-snapshot
FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing
inferredcites →https://doi.org/10.1109/lra.2019.2931179openalex-snapshot
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
inferredcites →https://doi.org/10.1109/mcom.2014.6815891openalex-snapshot
The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication
inferredcites →https://doi.org/10.1109/tc.2020.2994391openalex-snapshot
SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead
inferredcites →https://doi.org/10.1109/tit.2022.3192506openalex-snapshot
An Efficient Framework for Clustered Federated Learning
inferredcites →https://doi.org/10.1109/tnnls.2020.3015958openalex-snapshot
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
inferredcites →https://doi.org/10.1109/tnnls.2021.3072238openalex-snapshot
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning
inferredcites →https://doi.org/10.1109/tnnls.2022.3160699openalex-snapshot
Towards Personalized Federated Learning
inferredcites →https://doi.org/10.1109/tnnls.2022.3223144openalex-snapshot
Gradient Matching Federated Domain Adaptation for Brain Image Classification
inferredcites →https://doi.org/10.1109/tpds.2022.3225185openalex-snapshot
Personalized Edge Intelligence via Federated Self-Knowledge Distillation
inferredcites →https://doi.org/10.1137/1.9781611972764.29openalex-snapshot
Density-Based Clustering over an Evolving Data Stream with Noise
inferredcites →https://doi.org/10.1145/3372224.3419188openalex-snapshot
Billion-scale federated learning on mobile clients
inferredcites →https://doi.org/10.1145/3534678.3539047openalex-snapshot
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch
inferredcites →https://doi.org/10.1145/3560905.3568052openalex-snapshot
IMU Sensing Data-Based Kinetic Tremor Detection in Parkinson's Disease Patients
inferredcites →https://doi.org/10.1145/3560905.3568513openalex-snapshot
Quantifying the Physical Separability of RF-Based Multi-Person Respiration Monitoring via SINR
inferredcites →https://doi.org/10.1145/3567562openalex-snapshot
Improving Non-Native Speakers' Participation with an Automatic Agent in Multilingual Groups
inferredcites →https://doi.org/10.1145/3579546openalex-snapshot
What makes virtual intimacy...intimate? Understanding the Phenomenon and Practice of Computer-Mediated Paid Companionship
inferredcites →https://doi.org/10.1145/3580305.3599311openalex-snapshot
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization
inferredcites →https://doi.org/10.1145/3581791.3596844openalex-snapshot
Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training
inferredcites →https://doi.org/10.1145/3581791.3596848openalex-snapshot
Passive Vital Sign Monitoring via Facial Vibrations Leveraging AR/VR Headsets
inferredcites →https://doi.org/10.1145/3596907openalex-snapshot
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey
inferredcites →https://doi.org/10.1609/aaai.v34i04.5724openalex-snapshot
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
inferredcites →https://doi.org/10.1609/aaai.v35i5.16546openalex-snapshot
FedRec++: Lossless Federated Recommendation with Explicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v36i7.20778openalex-snapshot
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
inferredcites →https://doi.org/10.1609/aaai.v36i8.20819openalex-snapshot
FedProto: Federated Prototype Learning across Heterogeneous Clients
inferredcites →https://doi.org/10.3390/s19225001openalex-snapshot
Sport-Related Human Activity Detection and Recognition Using a Smartwatch
inferredcites →https://doi.org/10.48550/arxiv.2102.13451openalex-snapshot
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
inferredcites →https://doi.org/10.48550/arxiv.2111.02862openalex-snapshot
Parameterized Knowledge Transfer for Personalized Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2206.08307openalex-snapshot
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
inferredcites →https://doi.org/10.52202/068431-0679openalex-snapshot
PFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
inferredcites →https://doi.org/10.52202/068431-2360openalex-snapshot
Improved Fine-Tuning by Better Leveraging Pre-Training Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/iisa66859.2025.11311304openalex-snapshot
Current Status, Trends and Challenges in AI-Based Bradykinesia and Tremor Detection on Edge Devices
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571282openalex-snapshot
Towards Asynchronous Client Collaboration in Personalized Federated Learning
inferred← citeshttps://doi.org/10.1109/noms57970.2025.11073735openalex-snapshot
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
inferred← citeshttps://doi.org/10.1109/qrs-c63300.2024.00053openalex-snapshot
Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices
inferred← citeshttps://doi.org/10.1109/tmc.2024.3487294openalex-snapshot
ClassTer: Mobile Shift-Robust Personalized Federated Learning via Class-Wise Clustering
inferred← citeshttps://doi.org/10.1109/tmc.2025.3572215openalex-snapshot
AdaShift: Anti-Collapse and Real-Time Deep Model Evolution for Mobile Vision Applications
inferred← citeshttps://doi.org/10.1109/tmc.2025.3606846openalex-snapshot
Quick-Pass Continuous Authentication With Real-Time Biometrics Extraction on COTS Earphones Using Out-Ear Microphones
inferred← citeshttps://doi.org/10.1109/tnse.2026.3730717openalex-snapshot
FedPriv: Personalized Differential Privacy in Federated Learning for Heterogeneous Data
inferred← citeshttps://doi.org/10.1145/3666025.3699366openalex-snapshot
Eternity in a Second: Quick-pass Continuous Authentication Using Out-ear Microphones
inferred← citeshttps://doi.org/10.1145/3746252.3761166openalex-snapshot
FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning
inferred← citeshttps://doi.org/10.1145/3831693openalex-snapshot
BrickNN: Towards Brick-like Self-organizing Modular Neural Networks for Plastic and Collective AIoT Learning
inferred← citeshttps://doi.org/10.1360/ssi-2024-0089openalex-snapshot
Lightweight sensing-computing-decision collaboration enhancement for multi-mobile terminals
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