Saved in:
| Main Author: | Iyer, Venkataraman Natarajan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.00809 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond IID: data-driven decision-making in heterogeneous environments
by: Besbes, Omar, et al.
Published: (2022)
by: Besbes, Omar, et al.
Published: (2022)
Control of a pendulum system: From simulation to reality
by: Natarajan, Iyer Venkataraman
Published: (2023)
by: Natarajan, Iyer Venkataraman
Published: (2023)
VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026)
by: Lakas, Mohamed, et al.
Published: (2026)
ProFed: a Benchmark for Proximity-based non-IID Federated Learning
by: Domini, Davide, et al.
Published: (2025)
by: Domini, Davide, et al.
Published: (2025)
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)
by: Seo, Jungwon, et al.
Published: (2025)
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy
by: Shankar, Ravi, et al.
Published: (2024)
by: Shankar, Ravi, et al.
Published: (2024)
Protein sequence classification using natural language processing techniques
by: Perveen, Huma, et al.
Published: (2024)
by: Perveen, Huma, et al.
Published: (2024)
Unified theoretical guarantees for stability, consistency, and convergence in neural PDE solvers from non-IID data to physics-informed networks
by: Katende, Ronald
Published: (2024)
by: Katende, Ronald
Published: (2024)
GitFL: Adaptive Asynchronous Federated Learning using Version Control
by: Hu, Ming, et al.
Published: (2022)
by: Hu, Ming, et al.
Published: (2022)
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
by: G., Daniel M. Jimenez, et al.
Published: (2024)
by: G., Daniel M. Jimenez, et al.
Published: (2024)
Global Convergence of Continual Learning on Non-IID Data
by: Zhu, Fei, et al.
Published: (2025)
by: Zhu, Fei, et al.
Published: (2025)
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
by: Chen, Zhuoxin, et al.
Published: (2024)
by: Chen, Zhuoxin, et al.
Published: (2024)
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
by: Yan, Xingrun, et al.
Published: (2024)
by: Yan, Xingrun, et al.
Published: (2024)
RoFL: Robust Fingerprinting of Language Models
by: Tsai, Yun-Yun, et al.
Published: (2025)
by: Tsai, Yun-Yun, et al.
Published: (2025)
Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
by: Shama, Deeksha M., et al.
Published: (2024)
by: Shama, Deeksha M., et al.
Published: (2024)
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)
by: Chen, Shutong, et al.
Published: (2024)
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
by: Wang, Haohui, et al.
Published: (2023)
by: Wang, Haohui, et al.
Published: (2023)
Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks
by: Kalyan, Anirudh, et al.
Published: (2025)
by: Kalyan, Anirudh, et al.
Published: (2025)
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Fairness Amidst Non-IID Graph Data: A Literature Review
by: Zhang, Wenbin, et al.
Published: (2022)
by: Zhang, Wenbin, et al.
Published: (2022)
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
by: Lai, Phung, et al.
Published: (2025)
by: Lai, Phung, et al.
Published: (2025)
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
by: Liu, Mingxuan, et al.
Published: (2022)
by: Liu, Mingxuan, et al.
Published: (2022)
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)
by: Liao, Xinting, et al.
Published: (2024)
Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
by: Sasse, Arthur Mendonça, et al.
Published: (2024)
by: Sasse, Arthur Mendonça, et al.
Published: (2024)
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
by: Weng, Pei-Yau, et al.
Published: (2025)
by: Weng, Pei-Yau, et al.
Published: (2025)
Momentum Benefits Non-IID Federated Learning Simply and Provably
by: Cheng, Ziheng, et al.
Published: (2023)
by: Cheng, Ziheng, et al.
Published: (2023)
Federated Loss Exploration for Improved Convergence on Non-IID Data
by: Internò, Christian, et al.
Published: (2025)
by: Internò, Christian, et al.
Published: (2025)
Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
by: Fan, Shunxing, et al.
Published: (2024)
by: Fan, Shunxing, et al.
Published: (2024)
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
by: Wong, Hui Yeok, et al.
Published: (2025)
by: Wong, Hui Yeok, et al.
Published: (2025)
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
by: Kumbhakar, Prakash, et al.
Published: (2026)
by: Kumbhakar, Prakash, et al.
Published: (2026)
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
by: Hieu, Nong Minh, et al.
Published: (2025)
by: Hieu, Nong Minh, et al.
Published: (2025)
Revisiting Generalization Measures Beyond IID: An Empirical Study under Distributional Shift
by: Nakai, Sora, et al.
Published: (2026)
by: Nakai, Sora, et al.
Published: (2026)
BlazeFL: Fast and Deterministic Federated Learning Simulation
by: Azuma, Kitsuya, et al.
Published: (2026)
by: Azuma, Kitsuya, et al.
Published: (2026)
ByzFL: Research Framework for Robust Federated Learning
by: González, Marc, et al.
Published: (2025)
by: González, Marc, et al.
Published: (2025)
Robustly estimating heterogeneity in factorial data using Rashomon Partitions
by: Venkateswaran, Aparajithan, et al.
Published: (2024)
by: Venkateswaran, Aparajithan, et al.
Published: (2024)
De-VertiFL: A Solution for Decentralized Vertical Federated Learning
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
by: Pala, Furkan, et al.
Published: (2025)
by: Pala, Furkan, et al.
Published: (2025)
Decoding Speculative Decoding
by: Yan, Minghao, et al.
Published: (2024)
by: Yan, Minghao, et al.
Published: (2024)
Similar Items
-
Beyond IID: data-driven decision-making in heterogeneous environments
by: Besbes, Omar, et al.
Published: (2022) -
Control of a pendulum system: From simulation to reality
by: Natarajan, Iyer Venkataraman
Published: (2023) -
VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
by: Lakas, Mohamed, et al.
Published: (2026) -
ProFed: a Benchmark for Proximity-based non-IID Federated Learning
by: Domini, Davide, et al.
Published: (2025) -
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)