Cover Image

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Gyuejeong, Choi, Daeyoung
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterogeneous Federated Learning with Prototype Alignment and Upscaling
by: Lee, Gyuejeong, et al.
Published: (2025)

Class-Wise Federated Averaging for Efficient Personalization
by: Lee, Gyuejeong, et al.
Published: (2024)

Personalized Federated Learning for Gradient Alignment
by: Kim, Dongwon, et al.
Published: (2026)

RefProtoFL: Communication-Efficient Federated Learning via External-Referenced Prototype Alignment
by: Wu, Hongyue, et al.
Published: (2026)

Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
by: Pfeiffer, Kilian, et al.
Published: (2024)

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
by: Guo, Wei, et al.
Published: (2025)

REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
by: Desai, Humaid Ahmed, et al.
Published: (2023)

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025)

GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
by: Lu, Shiwei, et al.
Published: (2026)

ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data
by: Song, Steven, et al.
Published: (2026)

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
by: Huckelberry, Jacob, et al.
Published: (2024)

CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
by: Yu, Seunghun, et al.
Published: (2025)

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

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
by: Ma, Shijie, et al.
Published: (2025)

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
by: Cai, Zi, et al.
Published: (2025)

A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments
by: Zhang, Ruirui, et al.
Published: (2024)

Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
by: Kim, Hyunwoo, et al.
Published: (2025)

FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting
by: Seo, Jungwon, et al.
Published: (2024)

ProtoSnap: Prototype Alignment for Cuneiform Signs
by: Mikulinsky, Rachel, et al.
Published: (2025)

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
by: Kang, Woonsang, et al.
Published: (2025)

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings
by: Mir, Aya El, et al.
Published: (2024)

ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025)

ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
by: Licht, Martin, et al.
Published: (2025)

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
by: Yang, Qiantao, et al.
Published: (2026)

Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
by: Meng, Guanlin
Published: (2023)

Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI
by: Bartoli, Pietro, et al.
Published: (2025)

ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
by: Wang, Yingxu, et al.
Published: (2025)

MEL: Multi-level Ensemble Learning for Resource-Constrained Environments
by: Gudipaty, Krishna Praneet, et al.
Published: (2025)

ProtoTTA: Prototype-Guided Test-Time Adaptation
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2026)

Resource-Constrained Federated Continual Learning: What Does Matter?
by: Li, Yichen, et al.
Published: (2025)

From Confusion to Clarity: ProtoScore -- A Framework for Evaluating Prototype-Based XAI
by: Monke, Helena, et al.
Published: (2025)

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

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2023)

ProtoP-OD: Explainable Object Detection with Prototypical Parts
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems
by: Gao, Jikun, et al.
Published: (2024)

Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
by: Kim, Jisoo, et al.
Published: (2025)

Communication-Efficient Gluon in Federated Learning
by: Qian, Xun, et al.
Published: (2026)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)

Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
by: Gu, Yuliang, et al.
Published: (2024)