Saved in:
| Main Authors: | Sefidgaran, Milad, Chor, Romain, Zaidi, Abdellatif, Wan, Yijun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2306.05862 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
by: Kavian, Masoud, et al.
Published: (2025)
by: Kavian, Masoud, et al.
Published: (2025)
Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023)
by: Sefidgaran, Milad, et al.
Published: (2023)
Minimal Communication-Cost Statistical Learning
by: Sefidgaran, Milad, et al.
Published: (2024)
by: Sefidgaran, Milad, et al.
Published: (2024)
Minimum Description Length and Generalization Guarantees for Representation Learning
by: Sefidgaran, Milad, et al.
Published: (2024)
by: Sefidgaran, Milad, et al.
Published: (2024)
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)
by: Sefidgaran, Milad, et al.
Published: (2025)
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
by: Sefidgaran, Milad, et al.
Published: (2025)
by: Sefidgaran, Milad, et al.
Published: (2025)
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
by: Sefidgaran, Milad, et al.
Published: (2025)
by: Sefidgaran, Milad, et al.
Published: (2025)
A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning
by: Filatrella, Dario, et al.
Published: (2026)
by: Filatrella, Dario, et al.
Published: (2026)
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
by: Wan, Yijun, et al.
Published: (2023)
by: Wan, Yijun, et al.
Published: (2023)
The Generalization Error of Supervised Machine Learning Algorithms
by: Perlaza, Samir M., et al.
Published: (2024)
by: Perlaza, Samir M., et al.
Published: (2024)
Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities
by: Liu, Yanxiao, et al.
Published: (2026)
by: Liu, Yanxiao, et al.
Published: (2026)
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
by: Aminian, Gholamali, et al.
Published: (2022)
by: Aminian, Gholamali, et al.
Published: (2022)
Action-List Reinforcement Learning Syndrome Decoding for Binary Linear Block Codes
by: Taghipour, Milad, et al.
Published: (2025)
by: Taghipour, Milad, et al.
Published: (2025)
An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
by: Pallewela, Rumeshika, et al.
Published: (2024)
by: Pallewela, Rumeshika, et al.
Published: (2024)
Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
by: Wen, Dingzhu, et al.
Published: (2025)
by: Wen, Dingzhu, et al.
Published: (2025)
Personalized Federated Learning for Generative AI-Assisted Semantic Communications
by: Peng, Yubo, et al.
Published: (2024)
by: Peng, Yubo, et al.
Published: (2024)
Generalization in Federated Learning: A Conditional Mutual Information Framework
by: Wang, Ziqiao, et al.
Published: (2025)
by: Wang, Ziqiao, et al.
Published: (2025)
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
by: Barnes, L. P., et al.
Published: (2022)
by: Barnes, L. P., et al.
Published: (2022)
Pragmatic Goal-Oriented Communications under Semantic-Effectiveness Channel Errors
by: Hüttebräucker, Tomás, et al.
Published: (2024)
by: Hüttebräucker, Tomás, et al.
Published: (2024)
Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
by: Kim, Gilhan
Published: (2026)
by: Kim, Gilhan
Published: (2026)
Fast Rate Information-theoretic Bounds on Generalization Errors
by: Wu, Xuetong, et al.
Published: (2023)
by: Wu, Xuetong, et al.
Published: (2023)
A General Error-Theoretical Analysis Framework for Constructing Compression Strategies
by: Zhang, Boyang, et al.
Published: (2025)
by: Zhang, Boyang, et al.
Published: (2025)
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)
Load Balancing in Federated Learning
by: Javani, Alireza, et al.
Published: (2024)
by: Javani, Alireza, et al.
Published: (2024)
Decoupled Subgraph Federated Learning
by: Aliakbari, Javad, et al.
Published: (2024)
by: Aliakbari, Javad, et al.
Published: (2024)
Generalization Error of Graph Neural Networks in the Mean-field Regime
by: Aminian, Gholamali, et al.
Published: (2024)
by: Aminian, Gholamali, et al.
Published: (2024)
Federated Dropout: Convergence Analysis and Resource Allocation
by: Xie, Sijing, et al.
Published: (2024)
by: Xie, Sijing, et al.
Published: (2024)
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
by: Termehchi, Atefeh, et al.
Published: (2025)
by: Termehchi, Atefeh, et al.
Published: (2025)
On the Generalization for Transfer Learning: An Information-Theoretic Analysis
by: Wu, Xuetong, et al.
Published: (2022)
by: Wu, Xuetong, et al.
Published: (2022)
$r$Age-$k$: Communication-Efficient Federated Learning Using Age Factor
by: Mortaheb, Matin, et al.
Published: (2024)
by: Mortaheb, Matin, et al.
Published: (2024)
Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
by: Hu, Zihao, et al.
Published: (2025)
by: Hu, Zihao, et al.
Published: (2025)
Kalman Filter Aided Federated Koopman Learning
by: Chen, Yutao, et al.
Published: (2025)
by: Chen, Yutao, et al.
Published: (2025)
Decentralized Federated Learning Over Imperfect Communication Channels
by: Li, Weicai, et al.
Published: (2024)
by: Li, Weicai, et al.
Published: (2024)
Personalized Federated Learning for Cellular VR: Online Learning and Dynamic Caching
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
by: Wu, Zheshun, et al.
Published: (2023)
by: Wu, Zheshun, et al.
Published: (2023)
A Hierarchical Federated Learning Approach for the Internet of Things
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)
ProFL: Performative Robust Optimal Federated Learning
by: Zheng, Xue, et al.
Published: (2024)
by: Zheng, Xue, et al.
Published: (2024)
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning
by: Ghaleb, Mustafa, et al.
Published: (2025)
by: Ghaleb, Mustafa, et al.
Published: (2025)
More is Less: Inducing Sparsity via Overparameterization
by: Chou, Hung-Hsu, et al.
Published: (2021)
by: Chou, Hung-Hsu, et al.
Published: (2021)
Balancing Client Participation in Federated Learning Using AoI
by: Javani, Alireza, et al.
Published: (2025)
by: Javani, Alireza, et al.
Published: (2025)
Similar Items
-
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
by: Kavian, Masoud, et al.
Published: (2025) -
Data-dependent Generalization Bounds via Variable-Size Compressibility
by: Sefidgaran, Milad, et al.
Published: (2023) -
Minimal Communication-Cost Statistical Learning
by: Sefidgaran, Milad, et al.
Published: (2024) -
Minimum Description Length and Generalization Guarantees for Representation Learning
by: Sefidgaran, Milad, et al.
Published: (2024) -
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)