Cover Image

Better Generative Replay for Continual Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Daiqing, Zhao, Handong, Li, Sheng
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
by: Churamani, Nikhil, et al.
Published: (2024)

Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
by: Liu, Jinmei, et al.
Published: (2024)

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity
by: Qi, Zhuang, et al.
Published: (2026)

Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
by: Li, Yichen, et al.
Published: (2025)

Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)

AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
by: Zhang, Xuling, et al.
Published: (2025)

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay
by: Zhang, Yunan, et al.
Published: (2025)

Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
by: Ding, Meng, et al.
Published: (2026)

CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
by: Zhang, Jianshu, et al.
Published: (2024)

Teaching AI to Remember: Insights from Brain-Inspired Replay in Continual Learning
by: Kim, Jina
Published: (2025)

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024)

Brain-Inspired Planning for Better Generalization in Reinforcement Learning
by: Zhao, Mingde "Harry"
Published: (2025)

Neural Point Process for Learning Spatiotemporal Event Dynamics
by: Zhou, Zihao, et al.
Published: (2021)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
by: Liu, Jinyi, et al.
Published: (2023)

Scalable Strategies for Continual Learning with Replay
by: Hickok, Truman
Published: (2025)

Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
by: Kim, Hoyong, et al.
Published: (2023)

Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning
by: Wu, Xinlan, et al.
Published: (2025)

IDER: IDempotent Experience Replay for Reliable Continual Learning
by: Liu, Zhanwang, et al.
Published: (2026)

Investigating the Interplay of Prioritized Replay and Generalization
by: Panahi, Parham Mohammad, et al.
Published: (2024)

Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
by: Younis, Sohaib, et al.
Published: (2024)

CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms
by: Yenicesu, Arda Sarp, et al.
Published: (2024)

Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
by: Mandalika, Sriram, et al.
Published: (2025)

Experience Replay Addresses Loss of Plasticity in Continual Learning
by: Wang, Jiuqi, et al.
Published: (2025)

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2026)

Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
by: Chen, Suiyao, et al.
Published: (2024)

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
by: Urettini, Edoardo, et al.
Published: (2025)

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning
by: Liu, Jingtao, et al.
Published: (2025)

SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
by: Hazard, Hugo, et al.
Published: (2025)

Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
by: Minhas, Mishal Fatima, et al.
Published: (2025)

R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
by: Jiang, Zhizheng, et al.
Published: (2026)

Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
by: Nalagatla, Goutham, et al.
Published: (2025)

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
by: Zhou, Yuhang, et al.
Published: (2024)

t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024)

PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
by: Li, Chia-Hao, et al.
Published: (2024)

Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay
by: Chen, Yuyang, et al.
Published: (2024)

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)

DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
by: Li, Long, et al.
Published: (2026)

Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
by: Zhang, Kongcheng, et al.
Published: (2025)

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
by: Zhao, Mingde, et al.
Published: (2023)

CoMemNet: Contrastive Sampling with Memory Replay Network for Continual Traffic Prediction
by: Wu, Mei, et al.
Published: (2026)