edge device

Hardware Aware Evolutionary Neural Architecture Search Using Representation Similarity Metric WACV 2024 Lightweight Delivery Detection on Doorbell Cameras WACV 2024 Overload: Latency Attacks on Object Detection for Edge Devices CVPR 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023 Aligning Speech Enhancement for Improving Downstream Classification Performance Interspeech 2023 BiBench: Benchmarking and Analyzing Network Binarization ICML 2023 Efficient Edge Inference by Selective Query ICLR 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Federated Learning Toolkit with Voice-based User Verification Demo Interspeech 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 XiNet: Efficient Neural Networks for tinyML ICCV 2023 CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation EMNLP 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022 FedMix: Approximation of Mixup under Mean Augmented Federated Learning ICLR 2021 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 Distributed Distillation for On-Device Learning NeurIPS 2020 Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation EMNLP 2020 Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020