:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zixin, Qi, Fan, Li, Shuai, Yang, Xiaoshan, Xu, Changsheng
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	https://arxiv.org/abs/2606.01856
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast
by: Bao, Guangyin, et al.
Published: (2023)

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
by: Qiu, Haoran, et al.
Published: (2025)

Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
by: Han, Xuefeng, et al.
Published: (2025)

TCM-Serve: Modality-aware Scheduling for Multimodal Large Language Model Inference
by: Papaioannou, Konstantinos, et al.
Published: (2026)

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
by: Li, Yanli, et al.
Published: (2024)

Boosting Asynchronous Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2024)

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)

OrchMLLM: Orchestrate Multimodal Data with Batch Post-Balancing to Accelerate Multimodal Large Language Model Training
by: Zheng, Yijie, et al.
Published: (2025)

Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
by: Saad, Zainab, et al.
Published: (2025)

Gradient Correction in Federated Learning with Adaptive Optimization
by: Chen, Evan, et al.
Published: (2025)

Dynamic Resource Allocation for Virtual Machine Migration Optimization using Machine Learning
by: Gong, Yulu, et al.
Published: (2024)

FedTrans: Efficient Federated Learning via Multi-Model Transformation
by: Zhu, Yuxuan, et al.
Published: (2024)

Collaborative Split Federated Learning with Parallel Training and Aggregation
by: Papageorgiou, Yiannis, et al.
Published: (2025)

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
by: Feng, Chao, et al.
Published: (2023)

FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks
by: Xian, Youquan, et al.
Published: (2023)

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
by: He, Yuepeng, et al.
Published: (2024)

iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problems
by: Hu, Yi-Xiang, et al.
Published: (2026)

Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
by: Behfar, Stefan, et al.
Published: (2026)

EPD-Serve: A Flexible Multimodal EPD Disaggregation Inference Serving System On Ascend
by: Bai, Fan, et al.
Published: (2026)

UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
by: S, Sarang, et al.
Published: (2025)

Analyzing the Impact of Participant Failures in Cross-Silo Federated Learning
by: Stricker, Fabian, et al.
Published: (2025)

Standardized Methods and Recommendations for Green Federated Learning
by: Tapp, Austin, et al.
Published: (2026)

PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale
by: Luqman, Alka, et al.
Published: (2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
by: Boiano, Antonio, et al.
Published: (2024)

Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks
by: Lee, Hunmin, et al.
Published: (2024)

Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning
by: Barrak, Amine
Published: (2026)

DFML: Decentralized Federated Mutual Learning
by: Khalil, Yasser H., et al.
Published: (2024)

Revealing the influence of participant failures on model quality in cross-silo Federated Learning
by: Stricker, Fabian, et al.
Published: (2026)

FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation
by: Palihawadana, Chamath, et al.
Published: (2024)

StreamWise: Serving Multi-Modal Generation in Real-Time at Scale
by: Qiu, Haoran, et al.
Published: (2026)

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
by: Liang, Dandan, et al.
Published: (2025)

Optimizing Federated Learning by Entropy-Based Client Selection
by: Lutz, Andreas, et al.
Published: (2024)

Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures
by: Gupta, Divya
Published: (2026)

Benchmarking Federated Learning in Edge Computing Environments: A Systematic Review and Performance Evaluation
by: Aribe Jr., Sales, et al.
Published: (2026)

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
by: Zhai, Yijun, et al.
Published: (2024)

Variational Bayes for Federated Continual Learning
by: Yao, Dezhong, et al.
Published: (2024)

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
by: Yang, Haowei, et al.
Published: (2025)

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
by: Li, Hongxia, et al.
Published: (2024)

PRAGMA: A Profiling-Reasoned Multi-Agent Framework for Automatic Kernel Optimization
by: Lei, Kelun, et al.
Published: (2025)

MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service
by: Yu, Timothy Tin Long, et al.
Published: (2026)