This repository hosts a list of research papers and topics that we track in the IoT and HD related areas.
A template for paper reading summary can be found here.
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
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Random Feature Attention (ICLR 2021) | Not Provided | Eric | Summary |
Multimodal Federated Learning via Contrastive Representation Ensemble (ICLR 2023) | https://github.com/FLAIR-THU/CreamFL | Eric | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
Learning Advanced Client Selection Strategy for Federated Learning (AAAI 2022) | Not Provided | Eric | Summary |
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning (AAAI 2022) | Not provided | Xiaofan | Summary |
A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions (AAAI 2022) | Not Provided | Shuhang | Summary |
Continual Federated Learning Based on Knowledge Distillation (AAAI 2022) | https://github.com/lianziqt/CFeD | Eric | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
MMT: Multi-Way Multi-Modal Transformer for Multimodal Learning (IJCAI 2022) | Not Provided | Eric | Summary |
Learning from Students: Online Contrastive Distillation Network for General Continual Learning (IJCAI 2022) | https://github.com/lijincm/OCD-Net | Xiaofan | Summary |
Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters (IJCAI 2022) | Not Provided | Ivannia | Summary |
Understanding the Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach (IJCAI 2022) | Not Provided | Xiaofan | Summary |
Continual Federated Learning Based on Knowledge Distillation (IJCAI 2022) | https://github.com/lianziqt/CFeD | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020) | Not provided | Ivannia | Summary |
Paper Title | Link to code | Presenters | Notes |
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Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning (NeurIPS 2020) | Link to code | Xiaofan | Summary |
Learning with Holographic Reduced Representations (NeurIPS 2021) | Link to code | Xiaofan | Summary |
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction (NeurIPS 2022) | Link to code | Xiaofan | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models (ICDCS 2022) | Not Provided | Eric | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking (SenSys 2021) | Not Provided | Eric | Summary |
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification (SenSys 2022) | Not Provided | Xiaofan | Summary |
SpeechQoE: A Novel Personalized QoE Assessment Model for Voice Services via Speech Sensing (SenSys 2022) | Not Provided | Dan | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning (IPSN 2022) | https://github.com/sxontheway/BalanceFL | Xiaofan | Summary |
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers (IPSN 2022) | Not provided | Shuhang | Summary |
Paper Title | Link to code | Presenters | Notes |
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Multimodal Federated Learning on IoT Data (IoTDI 2022) | Not provided | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
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Hermes: An Efficient Federated Learning Framework for Heterogeneous Mobile Clients (MobiCom 2021) | Not provided | Xiaofan | Summary |
Deep Learning based Wireless Localization for Indoor Navigation (Mobicom 2020) | Not Provided | Dan | Summary |
Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition (Mobicom 2022) | Not Provided | Eric | Summary |
Mask Does Not Matter: Anti-Spoofing Face Authentication using mmWave without On-site Registration (Mobicom 2022) | Not Provided | Dan | Summary |
InFi: End-to-end Learnable Input Filter for Resource-efficient Mobile-centric Inference (MobiCom 2022) | https://github.com/yuanmu97/infi | Ivannia | Summary |
U-Star: An Underwater Navigation System based on Passive 3D Optical Identification Tags (Mobicom 2022) | Not provided | Louis | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (ATC 2021) | Not provided | Ivannia | Summary |
Firefly: Untethered Multi-user VR for Commodity Mobile Devices (ATC 2020) | Not provided | Louis | Summary |
Paper Title | Link to code | Presenters | Notes |
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Delphi: A Cryptographic Inference Service for Neural Networks (Security 2020) | https://github.com/mc2-project/delphi | Dan | Summary |
Paper Title | Link to code | Presenters | Notes |
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Nadege: When Graph Kernels meet Network Anomaly Detection (INFOCOM 2022) | Not provided | Xiaofan | Summary |
ComAI: Enabling Lightweight, Collaborative Intelligence by Retrofitting Vision DNNs (INFOCOM 2022) | Not provided | Dan | Summary |
Milliear: Millimeter-wave Acoustic Eavesdropping with Unconstrained Vocabulary (INFOCOM 2022) | Not provided | Louis | Summary |
Paper Title | Link to code | Presenters | Notes |
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ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling (ICCAD 2022) | Not provided | Ivannia | Summary |
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing (ICCAD 2022) | Not provided | Ivannia | Summary |
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing (ICCAD 2019) | Not provided | Ivannia | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
TinyOL: TinyML with Online-Learning on Microcontrollers (IJCNN 2021) | Not Provided | Shuhang | Summary |
On-Device Training of Machine Learning Models on Microcontrollers with Federated Learning (Electronics 2022) | Not Provided | Shuhang | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective (ICASSP 2021) | https://github.com/Haoran-S/TSP_CL | Xiaofan | Summary |
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes (IEEE Networks 2022) | Link to dataset | Xiaofan | Summary |