Imagen de Portada

FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Reguieg, Hamza, Kamili, Mohamed El, Sabir, Essaid
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
por: Hanjri, Mohammed El, et al.
Publicado: (2024)

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
por: Han, Pengchao, et al.
Publicado: (2023)

Reduced and mixed precision turbulent flow simulations using explicit finite difference schemes
por: Siklósi, Bálint, et al.
Publicado: (2025)

A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method
por: Lyathakula, Karthik Reddy, et al.
Publicado: (2024)

In-Memory Non-Binary LDPC Decoding
por: Ferraz, Oscar, et al.
Publicado: (2025)

A parallel implementation of reduced-order modeling of large-scale systems
por: Farcas, Ionut-Gabriel, et al.
Publicado: (2025)

Reclaiming Idle CPU Cycles on Kubernetes: Sparse-Domain Multiplexing for Concurrent MPI-CFD Simulations
por: Xie, Tianfang
Publicado: (2026)

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production
por: Liu, Xiang, et al.
Publicado: (2026)

Making Tax Smart: Feasibility of Distributed Ledger Technology for building tax compliance functionality to Central Bank Digital Currency
por: Louvieris, Panos, et al.
Publicado: (2024)

GPU-accelerated Linear Algebra for Coupled Solvers in Industrial CFD Applications with OpenFOAM
por: Oliani, Stefano, et al.
Publicado: (2024)

Matrix-Free 3D SIMP Topology Optimization with Fused Gather-GEMM-Scatter Kernels
por: Yang, Shaoliang, et al.
Publicado: (2026)

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee
por: Chayanon, et al.
Publicado: (2024)

Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods
por: Pennati, Luca, et al.
Publicado: (2026)

A GPU-based Compressible Combustion Solver for Applications Exhibiting Disparate Space and Time Scales
por: Carreon, Anthony, et al.
Publicado: (2025)

A GPU-boosted high-performance multi-working condition joint analysis framework for predicting dynamics of textured axial piston pump
por: Yao, Xin, et al.
Publicado: (2025)

Level set-based inverse homogenisation of three-dimensional piezoelectric materials
por: Wegert, Zachary J., et al.
Publicado: (2024)

Intertemporal Pricing of Time-Bound Stablecoins: Measuring and Controlling the Liquidity-of-Time Premium
por: Borjigin, Ailiya, et al.
Publicado: (2025)

A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions
por: Almgren-Bell, James, et al.
Publicado: (2025)

Smoothed aggregation algebraic multigrid for problems with heterogeneous and anisotropic materials
por: Firmbach, Max, et al.
Publicado: (2026)

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX
por: Melnikov, Ignat, et al.
Publicado: (2026)

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs
por: Voronin, Andrey, et al.
Publicado: (2026)

Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems
por: Pan, Haochen, et al.
Publicado: (2026)

The Missing Adapter Layer for Research Computing
por: Li, Bowen, et al.
Publicado: (2026)

FedADAS: Communication-Efficient Federated Distillation for On-Device Driver Yawn Recognition in Vehicular Networks
por: Mujtaba, Ahmed, et al.
Publicado: (2026)

Guiding Application Users via Estimation of Computational Resources for Massively Parallel Chemistry Computations
por: Tabassum, Tanzila, et al.
Publicado: (2025)

Towards Robust Blockchain Price Oracle: A Study on Human-Centric Node Selection Strategy and Incentive Mechanism
por: Xian, Youquan, et al.
Publicado: (2023)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
por: Liu, Jinyang, et al.
Publicado: (2023)

Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications
por: Godoy, William F., et al.
Publicado: (2025)

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression
por: Liu, Jinyang, et al.
Publicado: (2024)

Tuning of Vectorization Parameters for Molecular Dynamics Simulations in AutoPas
por: Gall, Luis, et al.
Publicado: (2025)

A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
por: Driss, Maryam Ben, et al.
Publicado: (2024)

Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions
por: Han, Pengchao, et al.
Publicado: (2025)

Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices
por: Barua, Biman, et al.
Publicado: (2024)

Comparison of nested geometry treatments within GPU-based Monte Carlo neutron transport simulations of fission reactors
por: Biondo, Elliott, et al.
Publicado: (2024)

A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling
por: Wang, Zhiyu, et al.
Publicado: (2025)

Two Teachers Better Than One: Hardware-Physics Co-Guided Distributed Scientific Machine Learning
por: Yuan, Yuchen, et al.
Publicado: (2026)

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
por: Thwal, Chu Myaet, et al.
Publicado: (2024)

Adaptive and Parallel Multiscale Framework for Modeling Cohesive Failure in Engineering Scale Systems
por: Kim, Sion, et al.
Publicado: (2024)

Design, Implementation, and Analysis of Fair Faucets for Blockchain Ecosystems
por: Metin, Serdar
Publicado: (2025)

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
por: Sun, Daran, et al.
Publicado: (2026)