:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sharma, Karan, Tripathi, Aditya, Mishra, Rahul, Maiti, Tapas Kumar
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.24418
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
by: Tripathi, Aditya, et al.
Published: (2025)

TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
by: Hallaji, Ehsan, et al.
Published: (2025)

RiM: Record, Improve and Maintain Physical Well-being using Federated Learning
by: Mishra, Aditya, et al.
Published: (2025)

Client Contribution Normalization for Enhanced Federated Learning
by: Kundalwal, Mayank Kumar, et al.
Published: (2024)

Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior
by: Jaberzadeh, Amir, et al.
Published: (2023)

Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
by: Mishra, Animesh
Published: (2025)

Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches
by: Adhikary, Jishu, et al.
Published: (2025)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
by: Wu, Bijun, et al.
Published: (2025)

An Ensembled Penalized Federated Learning Framework for Falling People Detection
by: Rao, Sizhe, et al.
Published: (2025)

Blockchain-Enabled Federated Learning
by: Rangwala, Murtaza, et al.
Published: (2025)

Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)

Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
by: Zhao, Zilong, et al.
Published: (2021)

FedNET: Federated Learning for Proactive Traffic Management and Network Capacity Planning
by: Panda, Saroj Kumar, et al.
Published: (2025)

FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
by: Sharma, Esha, et al.
Published: (2025)

PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
by: Commey, Daniel, et al.
Published: (2025)

Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs
by: Abbasihafshejani, Maryam, et al.
Published: (2024)

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
by: Tran, Linh, et al.
Published: (2024)

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation
by: Mazumdar, Soumya, et al.
Published: (2026)

Federated Ensemble Learning with Progressive Model Personalization
by: Emrani, Ala, et al.
Published: (2026)

BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
by: Li, Yang, et al.
Published: (2023)

Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous Functionality
by: Shrestha, Ajay Kumar, et al.
Published: (2023)

Ensemble and Mixture-of-Experts DeepONets For Operator Learning
by: Sharma, Ramansh, et al.
Published: (2024)

FedDES: Graph-Based Dynamic Ensemble Selection for Personalized Federated Learning
by: Mueller, Brianna, et al.
Published: (2026)

zkFL-Health: Blockchain-Enabled Zero-Knowledge Federated Learning for Medical AI Privacy
by: Sharma, Savvy, et al.
Published: (2025)

Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
by: Cai, Zeju, et al.
Published: (2024)

Trustworthy Federated Learning via Blockchain
by: Yang, Zhanpeng, et al.
Published: (2022)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems
by: Renganathan, Arvind, et al.
Published: (2023)

FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
by: Alsenani, Yousef, et al.
Published: (2024)

Federated Ensemble-Directed Offline Reinforcement Learning
by: Rengarajan, Desik, et al.
Published: (2023)

Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
by: Commey, Daniel, et al.
Published: (2024)

Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
by: Sahani, Mukesh, et al.
Published: (2025)

Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)

A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
by: Zhao, Zhouting, et al.
Published: (2026)

Privacy-Preserving in Blockchain-based Federated Learning Systems
by: M., Sameera K., et al.
Published: (2024)

Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks
by: Hafeez, Sana, et al.
Published: (2024)

STRIKE: Additive Feature-Group-Aware Stacking Framework for Credit Default Prediction
by: Maiti, Swattik, et al.
Published: (2026)

Hierarchical Neural Simulation-Based Inference Over Event Ensembles
by: Heinrich, Lukas, et al.
Published: (2023)

Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand
by: Gupta, Hari Prabhat, et al.
Published: (2024)

FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
by: Mueller, Brianna, et al.
Published: (2024)