Cover Image

FedDAF: Federated Domain Adaptation Using Model Functional Distance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sen, Mrinmay, Das, Ankita, Nair, Sidhant, Mohan, C Krishna
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition 68W15, 68T05, 90C25 I.2.6; I.5.1; C.2.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accelerated Training of Federated Learning via Second-Order Methods
by: Sen, Mrinmay, et al.
Published: (2025)

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
by: Sen, Mrinmay, et al.
Published: (2025)

DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
by: Nair, Sidhant, et al.
Published: (2026)

Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks
by: Du, Wenzhang
Published: (2025)

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis
by: Hennadii, Kutomanov
Published: (2026)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)

Safe Distributed Control of Multi-Robot Systems with Communication Delays
by: Ballotta, Luca, et al.
Published: (2024)

Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication
by: Amoh, Benjamin, et al.
Published: (2026)

Community-Based Model Sharing and Generalisation: Anomaly Detection in IoT Temperature Sensor Networks
by: Hammad, Sahibzada Saadoon, et al.
Published: (2026)

Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
by: Urbańczyk, Aleksandra, et al.
Published: (2025)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
by: Ismail, Leila, et al.
Published: (2025)

Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
by: Vivek, Yelleti, et al.
Published: (2024)

optimize_anything: A Universal API for Optimizing any Text Parameter
by: Agrawal, Lakshya A, et al.
Published: (2026)

Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
by: Xu, Ruoran, et al.
Published: (2026)

Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization
by: Costantini, Marina, et al.
Published: (2025)

Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey
by: Vivek, Yelleti, et al.
Published: (2024)

RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
by: Fang, Jiawei, et al.
Published: (2025)

Active perception and disentangled representations allow continual, episodic zero and few-shot learning
by: Rawlinson, David, et al.
Published: (2026)

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)

Generalizable IoT Traffic Representations for Cross-Network Device Identification
by: Sivanathan, Arunan, et al.
Published: (2026)

Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
by: Ramlan, Fitria Wulandari, et al.
Published: (2025)

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
by: Lee, Wooin, et al.
Published: (2026)

Client-Conditional Federated Learning via Local Training Data Statistics
by: Brännvall, Rickard
Published: (2026)

NOVAK: Unified adaptive optimizer for deep neural networks
by: Kavun, Sergii
Published: (2026)

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning
by: Hennebelle, Alain, et al.
Published: (2025)

The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities
by: Giacomelli, Stefano, et al.
Published: (2024)

Local properties of neural networks through the lens of layer-wise Hessians
by: Bolshim, Maxim, et al.
Published: (2025)

Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures
by: Bolshim, Maxim, et al.
Published: (2026)

Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training
by: Bolshim, Maxim, et al.
Published: (2026)

Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics
by: Urbańczyk, Piotr, et al.
Published: (2025)

Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
by: Urbańczyk, Piotr, et al.
Published: (2026)

Lightweight Transformer Architectures for Edge Devices in Real-Time Applications
by: Samson, Hema Hariharan
Published: (2026)

MetaGEM: Bottom-Up Reconstruction of Genome-Scale Metabolic Networks via Deep Enzyme-Metabolite Anchoring
by: Xiao, Weiyu, et al.
Published: (2026)

Mechanical Conscience: A Mathematical Framework for Dependability of Machine Intelligenc
by: Batzorig, Munkhdegerekh, et al.
Published: (2026)

FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
by: Long, Qianyu, et al.
Published: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
by: Su, Jiarui, et al.
Published: (2026)