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 |
---|---|---|---|
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 |
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception (AAAI 2023) | Not Provided | Ivannia | Summary |
Online Hyperparameter Optimization for Class-Incremental Learning (AAAI 2023) | https://github.com/yaoyao-liu/online-hyperparameter-optimization/ | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
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LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds (ECCV 2022) | None | Ivannia | Summary |
Paper Title | Link to code | Presenters | Notes |
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AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020) | Not provided | Ivannia | Summary |
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework (KDD 2023) | https://github.com/jiayunz/FedAlign | Xiaofan | Summary |
Paper Title | Link to code | Presenters | Notes |
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AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration | Link to code | Lele Zhao | 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 |
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning (NeurIPS 2021) | Link to code | Run Wang | Summary |
On-Device Training Under 256KB Memory (NeurIPS 2022) | Link to code | Run Wang | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
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 |
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers (ICLR 2023) | https://github.com/IST-DASLab/gptq | Lele Zhao | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
---|---|---|---|
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention (ICML 2024) | https://github.com/htqin/ir-qlora | Xiaofan | 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 |
On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems (SenSys 2023) | https://github.com/eai-lab/On-NAS | Xiaofan | Summary |
NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems (SenSys 2023) | Not provided | Xiaofan | Summary |
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge (SenSys 2023) | Not provided | Xiaofan | Summary |
Paper Title | Link to code | Presenters | Notes |
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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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DeepSQA: Understanding Sensor Data via Question Answering (IoTDI 2021) | https://github.com/NESL/DeepSQA | Xiaofan | Summary |
Multimodal Federated Learning on IoT Data (IoTDI 2022) | Not provided | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
Memory-Efficient DNN Training on Mobile Devices (MobiSys 2022) | https://github.com/eis-lab/sage | Xiaofan | Summary |
BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems (MobiSys 2023) | Not provided | Ivannia | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing (ICCAD 2019) | Not provided | Ivannia | Summary |
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 |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
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HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing (DATE 2019) | Not Provided | Xin | Summary |
OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System (DATE 2021) | https://github.com/BIASLab-UCI/onlinehd | Alex | Summary |
Federated Learning with Heterogeneous Models for On-device Malware Detection in loT Networks (DATE 2023) | Not Provided | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing (ASP-DAC 2021) | Not provided | Ivannia | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
On-Device Unsupervised Image Segmentation (DAC 2023) | Not provided | Xin | Summary |
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis (DAC 2024) | Not provided | Xiaofan | Summary |
CONClave - Secure and Robust Cooperative Perception for CAVs Using Authenticated Consensus and Trust Scoring (DAC 2024) | Not provided | Xiaofan | Summary |
Paper Title | Link to code | Presenters | Notes |
---|---|---|---|
A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing (ISLPED 2016) | https://github.com/abbas-rahimi/HDC-Language-Recognition | Eric | Summary |
Integrating Event-based Dynamic Vision Sensors with Sparse Hyperdimensional Computing: A Low-power Accelerator with Online Capability (ISLPED 2020) | https://github.com/iis-eth-zurich/hd_dvs | Shuhang | Summary |
Multi-objective optimization for Floating Point Mix-Precision Tuning (ISLPED 2023) | No Code Available | Ivannia | Summary |
Paper Title (Conf/Year of Paper) | Link to code | Presenters | Notes |
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FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models (ICDCS 2022) | Not Provided | Eric | Summary |
Paper Title | Link to code | Presenters | Notes |
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Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems (CHI 2023) | None | Louis | Summary |
Paper Title | Link to code | Presenters | Notes |
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Firefly: Untethered Multi-user VR for Commodity Mobile Devices (ATC 2020) | Not provided | Louis | Summary |
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (ATC 2021) | Not provided | Ivannia | 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 (Conf/Year of Paper) | Link to code | Presenters | Notes |
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv 2023) | https://github.com/state-spaces/mamba | Xiaofan | Summary |
Paper Title | Link to code | Presenters | Notes |
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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 |
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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 |