Cover Image

Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mei, Yongsheng, Yuan, Liangqi, Han, Dong-Jun, Chan, Kevin S., Brinton, Christopher G., Lan, Tian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
by: Yuan, Liangqi, et al.
Published: (2024)

Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings
by: Yuan, Liangqi, et al.
Published: (2025)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
by: Yuan, Liangqi, et al.
Published: (2023)

Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
by: Han, Dong-Jun, et al.
Published: (2024)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
by: Zehtabi, Shahryar, et al.
Published: (2024)

PAAC: Privacy-Aware Agentic Device-Cloud Collaboration
by: Yuan, Liangqi, et al.
Published: (2026)

Decentralized Federated Learning: A Survey and Perspective
by: Yuan, Liangqi, et al.
Published: (2023)

Differentially-Private Multi-Tier Federated Learning
by: Chen, Evan, et al.
Published: (2024)

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

Tracing Distributed Algorithms Using Replay Clocks
by: Lagwankar, Ishaan
Published: (2024)

Towards Efficient Replay in Federated Incremental Learning
by: Li, Yichen, et al.
Published: (2024)

Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
by: Chang, Zhan-Lun, et al.
Published: (2023)

Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization
by: Han, Xuefeng, et al.
Published: (2024)

Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
by: Perazzone, Jake B., et al.
Published: (2025)

Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
by: Zehtabi, Shahryar, et al.
Published: (2022)

Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
by: Zhang, Jianing, et al.
Published: (2025)

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
by: Yuan, Liangqi, et al.
Published: (2026)

Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
by: Song, Jaeyoung, et al.
Published: (2024)

Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
by: Das, Anindya Bijoy, et al.
Published: (2024)

Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi-threaded Programs
by: Fu, Xiang, et al.
Published: (2026)

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
by: Lan, Muhang, et al.
Published: (2025)

Federated Learning Under Temporal Drift -- Mitigating Catastrophic Forgetting via Experience Replay
by: Kokkula, Sahasra, et al.
Published: (2026)

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

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator
by: Luo, Kangyang, et al.
Published: (2024)

Federated Learning Using Coupled Tensor Train Decomposition
by: Zhang, Xiangtao, et al.
Published: (2024)

MPI Malleability Validation under Replayed Real-World HPC Conditions
by: Iserte, S., et al.
Published: (2026)

Generative Federated Learning for Smart Prediction and Recommendation Applications
by: Mukherjee, Anwesha, et al.
Published: (2025)

On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
by: Keshri, Satish Kumar, et al.
Published: (2024)

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
by: Chen, Jingyun, et al.
Published: (2025)

Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
by: Wu, Yebo, et al.
Published: (2024)

Trace Replay Simulation of MIT SuperCloud for Studying Optimal Sustainability Policies
by: Brewer, Wesley, et al.
Published: (2025)

Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
by: Lan, Guangchen, et al.
Published: (2024)

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

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

Ira: Efficient Transaction Replay for Distributed Systems
by: Bhat, Adithya, et al.
Published: (2026)

Constrained Over-the-Air Model Updating for Wireless Online Federated Learning with Delayed Information
by: Wang, Juncheng, et al.
Published: (2025)

OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
by: Yebo, Wu, et al.
Published: (2024)

MoDM: Efficient Serving for Image Generation via Mixture-of-Diffusion Models
by: Xia, Yuchen, et al.
Published: (2025)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
by: Wang, Su, et al.
Published: (2023)