Entropy-driven Fair and Effective Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Lin, Wang, Zhichao, Shi, Ye, Karimireddy, Sai Praneeth, Tang, Xiaoying |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Limits of Momentum in Decentralized and Federated Optimization
by: Zaccone, Riccardo, et al.
Published: (2025)
by: Zaccone, Riccardo, et al.
Published: (2025)
Optimization with Access to Auxiliary Information
by: Chayti, El Mahdi, et al.
Published: (2022)
by: Chayti, El Mahdi, et al.
Published: (2022)
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
by: Rokvic, Ljubomir, et al.
Published: (2022)
by: Rokvic, Ljubomir, et al.
Published: (2022)
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
by: Zaccone, Riccardo, et al.
Published: (2023)
by: Zaccone, Riccardo, et al.
Published: (2023)
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, et al.
Published: (2024)
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
by: Wang, Lin, et al.
Published: (2024)
by: Wang, Lin, et al.
Published: (2024)
Defection-Free Collaboration between Competitors in a Learning System
by: Werner, Mariel, et al.
Published: (2024)
by: Werner, Mariel, et al.
Published: (2024)
A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
by: Chen, Minghui, et al.
Published: (2025)
by: Chen, Minghui, et al.
Published: (2025)
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
by: Guo, Tianyu, et al.
Published: (2024)
by: Guo, Tianyu, et al.
Published: (2024)
DAVED: Data Acquisition via Experimental Design for Data Markets
by: Lu, Charles, et al.
Published: (2024)
by: Lu, Charles, et al.
Published: (2024)
Do Data Valuations Make Good Data Prices?
by: Fan, Dongyang, et al.
Published: (2025)
by: Fan, Dongyang, et al.
Published: (2025)
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2024)
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2024)
Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
by: Bakman, Yavuz, et al.
Published: (2026)
by: Bakman, Yavuz, et al.
Published: (2026)
Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
by: Fan, Dongyang, et al.
Published: (2025)
by: Fan, Dongyang, et al.
Published: (2025)
Conformal Prediction Adaptive to Unknown Subpopulation Shifts
by: Wang, Nien-Shao, et al.
Published: (2025)
by: Wang, Nien-Shao, et al.
Published: (2025)
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
by: Yun, Vincent-Daniel, et al.
Published: (2026)
by: Yun, Vincent-Daniel, et al.
Published: (2026)
VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
by: Panda, Subhodip, et al.
Published: (2025)
by: Panda, Subhodip, et al.
Published: (2025)
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
by: Guo, Yongxin, et al.
Published: (2024)
by: Guo, Yongxin, et al.
Published: (2024)
Robust Multi-Agent LLMs under Byzantine Faults
by: Lee, Haejoon, et al.
Published: (2026)
by: Lee, Haejoon, et al.
Published: (2026)
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
by: Wang, Lin, et al.
Published: (2024)
by: Wang, Lin, et al.
Published: (2024)
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
by: Guo, Yongxin, et al.
Published: (2023)
by: Guo, Yongxin, et al.
Published: (2023)
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
by: Ye, Rongguang, et al.
Published: (2025)
by: Ye, Rongguang, et al.
Published: (2025)
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
by: Guo, Yongxin, et al.
Published: (2023)
by: Guo, Yongxin, et al.
Published: (2023)
Fairness-aware Anomaly Detection via Fair Projection
by: Xiao, Feng, et al.
Published: (2025)
by: Xiao, Feng, et al.
Published: (2025)
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)
by: Wang, Xinpeng, et al.
Published: (2024)
Reconsidering LLM Uncertainty Estimation Methods in the Wild
by: Bakman, Yavuz, et al.
Published: (2025)
by: Bakman, Yavuz, et al.
Published: (2025)
Reject Only Critical Tokens: Pivot-Aware Speculative Decoding
by: Ziashahabi, Amir, et al.
Published: (2025)
by: Ziashahabi, Amir, et al.
Published: (2025)
Predicting Survival of Hemodialysis Patients using Federated Learning
by: Raju, Abhiram, et al.
Published: (2024)
by: Raju, Abhiram, et al.
Published: (2024)
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
by: Gao, Jiashi, et al.
Published: (2024)
by: Gao, Jiashi, et al.
Published: (2024)
On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
by: Zeng, Dun, et al.
Published: (2023)
by: Zeng, Dun, et al.
Published: (2023)
Distributed Quasi-Newton Method for Fair and Fast Federated Learning
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
by: Liu, Haoyue, et al.
Published: (2026)
by: Liu, Haoyue, et al.
Published: (2026)
Select Smarter, Not More: Prompt-Aware Evaluation Scheduling with Submodular Guarantees
by: Ma, Xiaoyu, et al.
Published: (2026)
by: Ma, Xiaoyu, et al.
Published: (2026)
Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making
by: Bian, Zeyu, et al.
Published: (2026)
by: Bian, Zeyu, et al.
Published: (2026)
PraFFL: A Preference-Aware Scheme in Fair Federated Learning
by: Ye, Rongguang, et al.
Published: (2024)
by: Ye, Rongguang, et al.
Published: (2024)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Harmonizing Generalization and Personalization in Federated Prompt Learning
by: Cui, Tianyu, et al.
Published: (2024)
by: Cui, Tianyu, et al.
Published: (2024)
Fairness Regularization in Federated Learning
by: Kharaghani, Zahra, et al.
Published: (2025)
by: Kharaghani, Zahra, et al.
Published: (2025)
Similar Items
-
On the Limits of Momentum in Decentralized and Federated Optimization
by: Zaccone, Riccardo, et al.
Published: (2025) -
Optimization with Access to Auxiliary Information
by: Chayti, El Mahdi, et al.
Published: (2022) -
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
by: Rokvic, Ljubomir, et al.
Published: (2022) -
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
by: Zaccone, Riccardo, et al.
Published: (2023) -
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)