DS FedProxGrad: Asymptotic Stationarity Without Noise Floor in Fair Federated Learning

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Bibliographic Details
Main Author:	Arif, Huzaifa
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
by: Wu, Nannan, et al.
Published: (2025)

A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
by: Tertulino, Rodrigo
Published: (2025)

FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
by: Wen, Siyuan, et al.
Published: (2025)

FedRGL: Robust Federated Graph Learning for Label Noise
by: Li, De, et al.
Published: (2024)

FedCF: Fair Federated Conformal Prediction
by: Srinivasan, Anutam, et al.
Published: (2025)

Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learning
by: Meinhardt, Georg, et al.
Published: (2024)

Augmenting the FedProx Algorithm by Minimizing Convergence
by: Sarkar, Anomitra, et al.
Published: (2024)

pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
by: Lei, Haoyu, et al.
Published: (2025)

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
by: Ji, Xinyuan, et al.
Published: (2024)

AdaptGrad: Adaptive Sampling to Reduce Noise
by: Zhou, Linjiang, et al.
Published: (2024)

FedFair^3: Unlocking Threefold Fairness in Federated Learning
by: Javaherian, Simin, et al.
Published: (2024)

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
by: Zhang, Li, et al.
Published: (2025)

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)

FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient
by: Liu, ShanBin
Published: (2025)

FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
by: Zhang, Binghui, et al.
Published: (2025)

FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
by: Wang, Zihui, et al.
Published: (2024)

CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
by: Sharma, Harshit, et al.
Published: (2024)

GradNetOT: Learning Optimal Transport Maps with GradNets
by: Chaudhari, Shreyas, et al.
Published: (2025)

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
by: Yang, Shangshang, et al.
Published: (2025)

CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
by: Mukhtiar, Noorain, et al.
Published: (2026)

Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
by: Arif, Huzaifa, et al.
Published: (2025)

FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)

Learning to Adapt: In-Context Learning Beyond Stationarity
by: Qin, Zhen, et al.
Published: (2026)

FedHide: Federated Learning by Hiding in the Neighbors
by: Park, Hyunsin, et al.
Published: (2024)

FedWon: Triumphing Multi-domain Federated Learning Without Normalization
by: Zhuang, Weiming, et al.
Published: (2023)

Testing Stationarity and Change Point Detection in Reinforcement Learning
by: Li, Mengbing, et al.
Published: (2022)

FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
by: Sun, Kangkang, et al.
Published: (2025)

FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)

Fairness Regularization in Federated Learning
by: Kharaghani, Zahra, et al.
Published: (2025)

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
by: He, Jialuo, et al.
Published: (2024)

FedHQ: Hybrid Runtime Quantization for Federated Learning
by: Zheng, Zihao, et al.
Published: (2025)

FedDuA: Doubly Adaptive Federated Learning
by: Takakura, Shokichi, et al.
Published: (2025)

FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
by: Chan, Yun-Hin, et al.
Published: (2023)

Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics
by: Zhou, Quan
Published: (2024)

Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
by: Bashir, Satwat, et al.
Published: (2026)

ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
by: Liu, Hongyi, et al.
Published: (2025)

FedGES: A Federated Learning Approach for BN Structure Learning
by: Torrijos, Pablo, et al.
Published: (2025)

FedPID: An Aggregation Method for Federated Learning
by: Mächler, Leon, et al.
Published: (2024)

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