Christopher G. Brinton
Orcid: 0000-0003-2771-3521Affiliations:
- Purdue University, West Lafayette, IN, USA
According to our database1,
Christopher G. Brinton
authored at least 136 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
IEEE Trans. Cogn. Commun. Netw., April, 2024
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks.
IEEE Trans. Wirel. Commun., March, 2024
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks.
IEEE/ACM Trans. Netw., February, 2024
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO.
IEEE J. Sel. Areas Commun., February, 2024
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges.
IEEE Trans. Intell. Veh., January, 2024
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning.
CoRR, 2024
Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features.
CoRR, 2024
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees.
CoRR, 2024
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training.
CoRR, 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection.
CoRR, 2024
Differential Privacy in Hierarchical Federated Learning: A Formal Analysis and Evaluation.
CoRR, 2024
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation.
CoRR, 2024
CoRR, 2024
2023
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point.
IEEE/ACM Trans. Netw., December, 2023
IEEE Commun. Mag., December, 2023
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement.
IEEE Trans. Veh. Technol., November, 2023
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.
IEEE/ACM Trans. Netw., October, 2023
Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders.
IEEE Trans. Cogn. Commun. Netw., August, 2023
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach.
IEEE Trans. Netw. Serv. Manag., June, 2023
IEEE Trans. Mob. Comput., April, 2023
AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework With Oblivious Smart Contracts.
IEEE Trans. Dependable Secur. Comput., 2023
IEEE J. Sel. Areas Inf. Theory, 2023
Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks.
IEEE Internet Things J., 2023
IEEE Secur. Priv., 2023
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading.
CoRR, 2023
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach.
CoRR, 2023
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks.
CoRR, 2023
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks.
CoRR, 2023
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization.
CoRR, 2023
Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
Proceedings of the IEEE International Conference on Communications, 2023
Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach.
Proceedings of the IEEE Global Communications Conference, 2023
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023
On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
2022
IEEE Trans. Wirel. Commun., 2022
Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization.
IEEE Trans. Signal Process., 2022
IEEE/ACM Trans. Netw., 2022
IEEE/ACM Trans. Netw., 2022
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., 2022
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions.
IEEE Trans. Cloud Comput., 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing.
IEEE J. Sel. Areas Commun., 2022
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions.
IEEE Commun. Lett., 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics.
CoRR, 2022
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices.
CoRR, 2022
Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks.
Proceedings of the IEEE International Conference on Communications, 2022
Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE/ACM Trans. Netw., 2021
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation.
ACM Trans. Intell. Syst. Technol., 2021
IEEE J. Sel. Areas Commun., 2021
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations.
CoRR, 2021
Evaluating the efficiency of social learning networks: Perspectives for harnessing learning analytics to improve discussions.
Comput. Educ., 2021
Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning.
IEEE Access, 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the ICC 2021, 2021
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach.
Proceedings of the ICC 2021, 2021
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.
Proceedings of the IEEE Global Communications Conference, 2021
Relationship between learning engagement metrics and learning outcomes in online engineering course.
Proceedings of the IEEE Frontiers in Education Conference, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search.
CoRR, 2020
Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications.
CoRR, 2020
CoRR, 2020
CoRR, 2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks.
CoRR, 2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks.
IEEE Commun. Mag., 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
2019
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors.
IEEE Trans. Learn. Technol., 2019
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the Adaptive Instructional Systems, 2019
2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams.
Proceedings of the 11th International Conference on Educational Data Mining, 2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Learning Informative and Private Representations via Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
IEEE J. Sel. Top. Signal Process., 2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
2016
IEEE Trans. Signal Process., 2016
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016
2015
IEEE Trans. Learn. Technol., 2015
Mining MOOC Clickstreams: On the Relationship Between Learner Video-Watching Behavior and Performance.
CoRR, 2015
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
2014
Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model.
IEEE Trans. Learn. Technol., 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014