Streaming Federated Learning with Markovian Data
Fuente:
arXiv
Saved in:
| Main Authors: | Huynh, Tan-Khiem, Egan, Malcolm, Neglia, Giovanni, Gorce, Jean-Marie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
by: Talpini, Jacopo, et al.
Published: (2025)
by: Talpini, Jacopo, et al.
Published: (2025)
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2025)
by: Diana, Francesco, et al.
Published: (2025)
Exploiting Device Heterogeneity in Grant-Free Random Access: A Data-Driven Approach
by: Jeannerot, Alix, et al.
Published: (2024)
by: Jeannerot, Alix, et al.
Published: (2024)
Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
by: Arputharaj, Daniel Richards, et al.
Published: (2025)
by: Arputharaj, Daniel Richards, et al.
Published: (2025)
No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2026)
by: Diana, Francesco, et al.
Published: (2026)
FedStale: leveraging stale client updates in federated learning
by: Rodio, Angelo, et al.
Published: (2024)
by: Rodio, Angelo, et al.
Published: (2024)
Joint Slot and Power Optimization for Grant Free Random Access with Unknown and Heterogeneous Device Activity
by: Jeannerot, Alix, et al.
Published: (2024)
by: Jeannerot, Alix, et al.
Published: (2024)
Local Model Reconstruction Attacks in Federated Learning and their Uses
by: Driouich, Ilias, et al.
Published: (2022)
by: Driouich, Ilias, et al.
Published: (2022)
An Online Gradient-Based Caching Policy with Logarithmic Complexity and Regret Guarantees
by: Carra, Damiano, et al.
Published: (2024)
by: Carra, Damiano, et al.
Published: (2024)
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
by: Kaplan, Caelin, et al.
Published: (2024)
by: Kaplan, Caelin, et al.
Published: (2024)
Joint Constellation Shaping Using Gradient Descent Approach for MU-MIMO Broadcast Channel
by: Vaillant, Maxime, et al.
Published: (2024)
by: Vaillant, Maxime, et al.
Published: (2024)
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
by: Galante, Franco, et al.
Published: (2024)
by: Galante, Franco, et al.
Published: (2024)
Attribute Inference Attacks for Federated Regression Tasks
by: Diana, Francesco, et al.
Published: (2024)
by: Diana, Francesco, et al.
Published: (2024)
Federated Online Learning for Heterogeneous Multisource Streaming Data
by: Li, Jingmao, et al.
Published: (2025)
by: Li, Jingmao, et al.
Published: (2025)
When to Forget? Complexity Trade-offs in Machine Unlearning
by: Van Waerebeke, Martin, et al.
Published: (2025)
by: Van Waerebeke, Martin, et al.
Published: (2025)
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
by: Rodio, Angelo, et al.
Published: (2025)
by: Rodio, Angelo, et al.
Published: (2025)
Broadcast Channels with Heterogeneous Arrival and Decoding Deadlines: Second-Order Achievability
by: Nikbakht, Homa, et al.
Published: (2023)
by: Nikbakht, Homa, et al.
Published: (2023)
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
by: Bars, Batiste Le, et al.
Published: (2023)
by: Bars, Batiste Le, et al.
Published: (2023)
Reconciling Communication Compression and Byzantine-Robustness in Distributed Learning
by: Gupta, Diksha, et al.
Published: (2025)
by: Gupta, Diksha, et al.
Published: (2025)
Efficient and Optimal No-Regret Caching under Partial Observation
by: Mazziane, Younes Ben, et al.
Published: (2025)
by: Mazziane, Younes Ben, et al.
Published: (2025)
Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments
by: Rodriguez, Charlotte, et al.
Published: (2024)
by: Rodriguez, Charlotte, et al.
Published: (2024)
Leveraging the Christoffel Function for Outlier Detection in Data Streams
by: Ducharlet, Kévin, et al.
Published: (2025)
by: Ducharlet, Kévin, et al.
Published: (2025)
On the Role of Reversible Instance Normalization
by: Berthelier, Gaspard, et al.
Published: (2026)
by: Berthelier, Gaspard, et al.
Published: (2026)
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)
by: Nguyen, Duong M., et al.
Published: (2025)
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
by: Le, Khiem, et al.
Published: (2025)
by: Le, Khiem, et al.
Published: (2025)
Knowledge-Aware Evolution for Streaming Federated Continual Learning with Category Overlap and without Task Identifiers
by: Tan, Sixing, et al.
Published: (2026)
by: Tan, Sixing, et al.
Published: (2026)
Lethe:Adapter-Augmented Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning
by: Tan, Hanwei, et al.
Published: (2026)
by: Tan, Hanwei, et al.
Published: (2026)
Variance-Reduced $(\varepsilon,δ)-$Unlearning using Forget Set Gradients
by: Van Waerebeke, Martin, et al.
Published: (2026)
by: Van Waerebeke, Martin, et al.
Published: (2026)
Improving realistic semi-supervised learning with doubly robust estimation
by: Pham, Khiem, et al.
Published: (2025)
by: Pham, Khiem, et al.
Published: (2025)
Exponential Convergence Guarantees for Iterative Markovian Fitting
by: Silveri, Marta Gentiloni, et al.
Published: (2025)
by: Silveri, Marta Gentiloni, et al.
Published: (2025)
Learn How to Query from Unlabeled Data Streams in Federated Learning
by: Sun, Yuchang, et al.
Published: (2024)
by: Sun, Yuchang, et al.
Published: (2024)
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data
by: Röder, Manuel, et al.
Published: (2024)
by: Röder, Manuel, et al.
Published: (2024)
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)
by: Pham, Khiem, et al.
Published: (2023)
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
by: Nguyen, Thinh, et al.
Published: (2025)
by: Nguyen, Thinh, et al.
Published: (2025)
Learning from Data Streams: An Overview and Update
by: Read, Jesse, et al.
Published: (2022)
by: Read, Jesse, et al.
Published: (2022)
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Adversary-Aware Private Inference over Wireless Channels
by: Seif, Mohamed, et al.
Published: (2025)
by: Seif, Mohamed, et al.
Published: (2025)
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Learning from Snapshots of Discrete and Continuous Data Streams
by: Devulapalli, Pramith, et al.
Published: (2024)
by: Devulapalli, Pramith, et al.
Published: (2024)
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
by: Gadekallu, Thippa Reddy, et al.
Published: (2021)
by: Gadekallu, Thippa Reddy, et al.
Published: (2021)
Similar Items
-
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
by: Talpini, Jacopo, et al.
Published: (2025) -
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2025) -
Exploiting Device Heterogeneity in Grant-Free Random Access: A Data-Driven Approach
by: Jeannerot, Alix, et al.
Published: (2024) -
Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
by: Arputharaj, Daniel Richards, et al.
Published: (2025) -
No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2026)