Cover Image

Understanding Communication Backends in Cross-Silo Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ziashahabi, Amir, He, Chaoyang, Avestimehr, Salman
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
by: Gao, Lei, et al.
Published: (2024)

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
by: Yan, Peishen, et al.
Published: (2024)

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)

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024)

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
by: Lee, Sunwoo, et al.
Published: (2024)

How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning
by: Sun, Yuchang, et al.
Published: (2024)

Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
by: Das, Anirban, et al.
Published: (2021)

Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
by: Shao, Jiaqi, et al.
Published: (2023)

BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services
by: Zhou, Zhaojiacheng, et al.
Published: (2025)

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
by: Stricker, F., et al.
Published: (2025)

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model
by: Faiyaz, Amir, et al.
Published: (2025)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
by: Zhang, Tuo, et al.
Published: (2023)

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler
by: Li, Zilinghan, et al.
Published: (2023)

Generating Dynamic Graph Algorithms for Multiple Backends for a Graph DSL
by: Behera, Nibedita, et al.
Published: (2025)

Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
by: Qiu, Zhimin, et al.
Published: (2025)

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
by: Yao, Yuhang, et al.
Published: (2024)

DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning
by: Wang, Zhiyu, et al.
Published: (2026)

Federated Learning for Terahertz Wireless Communication
by: Baydas, O. Tansel, et al.
Published: (2025)

SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT
by: Ali-Pour, Amir, et al.
Published: (2025)

Empowering Data Mesh with Federated Learning
by: Li, Haoyuan, et al.
Published: (2024)

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
by: Zhang, Zeling, et al.
Published: (2024)

Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
by: Gorbett, Matt, et al.
Published: (2023)

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025)

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
by: Wang, Liwei, et al.
Published: (2024)

EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
by: Wu, Di, et al.
Published: (2023)

Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
by: Ding, Yahao, et al.
Published: (2026)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
by: Zhang, Tianru, et al.
Published: (2022)

FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)

DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
by: Yang, Minghao, et al.
Published: (2024)

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
by: Yang, Nan, et al.
Published: (2026)

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2026)

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
by: Yang, Yuwen, et al.
Published: (2024)

Federated Inference for Heterogeneous LLM Communication and Collaboration
by: Chen, Zihan, et al.
Published: (2026)

Understanding GPU Triggering APIs for MPI+X Communication
by: Bridges, Patrick G., et al.
Published: (2024)

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
by: Alam, Samiul, et al.
Published: (2023)