:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ribeiro, Lucas Grativol, Leonardon, Mathieu, Muller, Guillaume, Fresse, Virginie, Arzel, Matthieu
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2310.14693
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FLoCoRA: Federated learning compression with low-rank adaptation
by: Ribeiro, Lucas Grativol, et al.
Published: (2024)

PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC
by: Ribeiro, Lucas Grativol, et al.
Published: (2024)

Unmixing Noise from Hawkes Process to Model Learned Physiological Events
by: Staerman, Guillaume, et al.
Published: (2024)

Stochastic Unrolled Federated Learning
by: Hadou, Samar, et al.
Published: (2023)

A new class of Markov random fields enabling lightweight sampling
by: Courbot, Jean-Baptiste, et al.
Published: (2025)

Differential error feedback for communication-efficient decentralized learning
by: Nassif, Roula, et al.
Published: (2024)

S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
by: Wang, Tiezhi, et al.
Published: (2023)

Study on Downlink CSI compression: Are Neural Networks the Only Solution?
by: Praneeth, K. Sai, et al.
Published: (2025)

MobileNetV2: A lightweight classification model for home-based sleep apnea screening
by: Pan, Hui, et al.
Published: (2024)

Software defined demodulation of multiple frequency shift keying with dense neural network for weak signal communications
by: Kozlenko, Mykola, et al.
Published: (2025)

Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
by: Ethier, Jonathan, et al.
Published: (2025)

Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
by: Zhang, Rui, et al.
Published: (2025)

An Innovative Networks in Federated Learning
by: Bozorgasl, Zavareh, et al.
Published: (2024)

AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification
by: Srivastava, Shreya
Published: (2024)

Model-based learning for multi-antenna multi-frequency location-to-channel mapping
by: Chatelier, Baptiste, et al.
Published: (2024)

Structure-Preserving Transformers for Sequences of SPD Matrices
by: Seraphim, Mathieu, et al.
Published: (2023)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
by: Seraphim, Mathieu, et al.
Published: (2024)

Sampling and Uniqueness Sets in Graphon Signal Processing
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Deployment of ARX Models for Thermal Forecasting in Power Electronics Boards Using WBG Semiconductors
by: Berramdane, Mohammed Riadh, et al.
Published: (2024)

Flexible K Nearest Neighbors Classifier: Derivation and Application for Ion-mobility Spectrometry-based Indoor Localization
by: Müller, Philipp
Published: (2023)

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)

AL-CoLe: Augmented Lagrangian for Constrained Learning
by: Boero, Ignacio, et al.
Published: (2025)

Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
by: Wang, Zhiyang, et al.
Published: (2024)

Federated Contrastive Learning for Personalized Semantic Communication
by: Wang, Yining, et al.
Published: (2024)

Decentralized Federated Learning With Energy Harvesting Devices
by: Zhang, Kai, et al.
Published: (2026)

Efficient Federated Low Rank Matrix Completion
by: Abbasi, Ahmed Ali, et al.
Published: (2024)

Federated Learning With Energy Harvesting Devices: An MDP Framework
by: Zhang, Kai, et al.
Published: (2024)

Privacy-Preserving Quantized Federated Learning with Diverse Precision
by: Nguyen, Dang Qua, et al.
Published: (2025)

Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis
by: Anavangot, Vijay
Published: (2024)

Federated Learning-Distillation Alternation for Resource-Constrained IoT
by: da Silva, Rafael Valente, et al.
Published: (2025)

Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
by: Bose, Shourya, et al.
Published: (2024)

Learned Digital Codes for Over-the-Air Federated Learning
by: Tarizzo, Antonio, et al.
Published: (2025)

Rate-Constrained Quantization for Communication-Efficient Federated Learning
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
by: Amarlingam, Madapu, et al.
Published: (2024)

Robust Stochastically-Descending Unrolled Networks
by: Hadou, Samar, et al.
Published: (2023)

Solving Large-scale Spatial Problems with Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2023)

Blind Federated Learning via Over-the-Air q-QAM
by: Razavikia, Saeed, et al.
Published: (2023)

Joint Optimization of Energy Consumption and Completion Time in Federated Learning
by: Zhou, Xinyu, et al.
Published: (2022)

Federated Learning with Hypergradient-based Online Update of Aggregation Weights
by: Nakai-Kasai, Ayano, et al.
Published: (2026)

Biased Over-the-Air Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)