Cover Image

LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Shixiong, Ramakrishnan, K. K., Lee, Myungjin
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Making MoE-based LLM Inference Resilient with Tarragon
by: Zhang, Songyu, et al.
Published: (2026)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
by: Baumgart, Gustav A., et al.
Published: (2024)

Flame: Simplifying Topology Extension in Federated Learning
by: Daga, Harshit, et al.
Published: (2023)

Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
by: Chadha, Mohak, et al.
Published: (2024)

FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
by: Ahmed, Faisal, et al.
Published: (2024)

Reinforcement Learning-Based Dynamic Management of Structured Parallel Farm Skeletons on Serverless Platforms
by: Li, Lanpei, et al.
Published: (2026)

Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters
by: Luo, Ziyue, et al.
Published: (2025)

FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards
by: Wang, Ziyao, et al.
Published: (2026)

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
by: Khare, Alind, et al.
Published: (2023)

On Harnessing Idle Compute at the Edge for Foundation Model Training
by: Xue, Leyang, et al.
Published: (2025)

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models
by: Fu, Yao, et al.
Published: (2024)

Lightweight Federated Learning over Wireless Edge Networks
by: Hou, Xiangwang, et al.
Published: (2025)

High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data
by: Besozzi, Valerio, et al.
Published: (2026)

Palladium: A DPU-enabled Multi-Tenant Serverless Cloud over Zero-copy Multi-node RDMA Fabrics
by: Qi, Shixiong, et al.
Published: (2025)

ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs
by: Sui, Yifan, et al.
Published: (2025)

Event-Driven Online Vertical Federated Learning
by: Wang, Ganyu, et al.
Published: (2025)

Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
by: Wang, Heqiang, et al.
Published: (2024)

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services
by: Liu, Jiachen, et al.
Published: (2024)

Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning
by: Chadha, Mohak, et al.
Published: (2024)

Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models
by: Chung, Jae-Won, et al.
Published: (2026)

Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions
by: Sinha, Prasoon, et al.
Published: (2024)

Orthogonal Calibration for Asynchronous Federated Learning
by: Zhang, Jiayun, et al.
Published: (2025)

Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing
by: Liu, Mengfan, et al.
Published: (2025)

FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
by: Wang, Minghe, et al.
Published: (2026)

Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud
by: Ghosh, Himel
Published: (2024)

Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
by: Barrak, Amine, et al.
Published: (2025)

GreenWhisk: Emission-Aware Computing for Serverless Platform
by: Serenari, Jayden, et al.
Published: (2024)

Heterogeneous Federated Learning with Prototype Alignment and Upscaling
by: Lee, Gyuejeong, et al.
Published: (2025)

Benchmarking Mutual Information-based Loss Functions in Federated Learning
by: S, Sarang, et al.
Published: (2025)

Cornfigurator: Automated Planning for Any-to-Any Multimodal Model Serving
by: Ma, Jeff J., et al.
Published: (2025)

FLASH: Federated Learning Across Simultaneous Heterogeneities
by: Chang, Xiangyu, et al.
Published: (2024)

Serverless Abstractions for Short-Running, Lightweight Streams
by: Carl, Natalie, et al.
Published: (2026)

BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities
by: R, Pranav M, et al.
Published: (2026)

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
by: Li, Yichen, et al.
Published: (2024)

Multi-Event Triggers for Serverless Computing
by: Carl, Natalie, et al.
Published: (2025)

Adaptive Client Selection via Q-Learning-based Whittle Index in Wireless Federated Learning
by: Li, Qiyue, et al.
Published: (2025)

Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
by: Li, Yichen, et al.
Published: (2024)

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
by: Hahn, Seok-Ju, et al.
Published: (2024)

Buffer-based Gradient Projection for Continual Federated Learning
by: Dai, Shenghong, et al.
Published: (2024)

Partial Federated Learning
by: Feng, Tiantian, et al.
Published: (2024)