Saved in:
| Main Authors: | Reza, Md Farhamdur, Jahani, Reza, Jin, Richeng, Dai, Huaiyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.18866 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach
by: Jahani, Reza, et al.
Published: (2025)
by: Jahani, Reza, et al.
Published: (2025)
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
by: Reza, Md Farhamdur, et al.
Published: (2025)
by: Reza, Md Farhamdur, et al.
Published: (2025)
Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction-Concealment Tradeoff in MLLMs
by: Reza, Md Farhamdur, et al.
Published: (2026)
by: Reza, Md Farhamdur, et al.
Published: (2026)
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
by: Pervej, Md Ferdous, et al.
Published: (2023)
by: Pervej, Md Ferdous, et al.
Published: (2023)
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
by: Jin, Richeng, et al.
Published: (2020)
by: Jin, Richeng, et al.
Published: (2020)
Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
by: Gu, Yujie, et al.
Published: (2026)
by: Gu, Yujie, et al.
Published: (2026)
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
by: Yue, Kai, et al.
Published: (2025)
by: Yue, Kai, et al.
Published: (2025)
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
by: Thompson, Gabriel, et al.
Published: (2024)
by: Thompson, Gabriel, et al.
Published: (2024)
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data
by: Jin, Richeng, et al.
Published: (2024)
by: Jin, Richeng, et al.
Published: (2024)
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
by: Pervej, Ferdous, et al.
Published: (2025)
by: Pervej, Ferdous, et al.
Published: (2025)
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
by: Jin, Richeng, et al.
Published: (2023)
by: Jin, Richeng, et al.
Published: (2023)
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
by: Yue, Kai, et al.
Published: (2024)
by: Yue, Kai, et al.
Published: (2024)
Federated Learning Nodes Can Reconstruct Peers' Image Data
by: Wilson, Ethan, et al.
Published: (2024)
by: Wilson, Ethan, et al.
Published: (2024)
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
by: Mirzaeifard, Reza, et al.
Published: (2025)
by: Mirzaeifard, Reza, et al.
Published: (2025)
Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
by: Arafath, Md Ahasanul, et al.
Published: (2025)
by: Arafath, Md Ahasanul, et al.
Published: (2025)
Decentralized Federated Learning with Model Caching on Mobile Agents
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties
by: Mirzaeifard, Reza, et al.
Published: (2024)
by: Mirzaeifard, Reza, et al.
Published: (2024)
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification
by: Yan, Jintao, et al.
Published: (2025)
by: Yan, Jintao, et al.
Published: (2025)
Federated Learning with Multi-resolution Model Broadcast
by: Rydén, Henrik, et al.
Published: (2024)
by: Rydén, Henrik, et al.
Published: (2024)
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning
by: Xia, Yue, et al.
Published: (2025)
by: Xia, Yue, et al.
Published: (2025)
Sparse Decentralized Federated Learning
by: Sha, Shan, et al.
Published: (2023)
by: Sha, Shan, et al.
Published: (2023)
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
by: Fotohi, Reza, et al.
Published: (2025)
by: Fotohi, Reza, et al.
Published: (2025)
Decentralized Fairness Aware Multi Task Federated Learning for VR Network
by: Tharakan, Krishnendu S., et al.
Published: (2025)
by: Tharakan, Krishnendu S., et al.
Published: (2025)
Efficient Federated Learning with Timely Update Dissemination
by: Jia, Juncheng, et al.
Published: (2025)
by: Jia, Juncheng, et al.
Published: (2025)
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
by: Colosi, Mario, et al.
Published: (2025)
by: Colosi, Mario, et al.
Published: (2025)
Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins
by: Heydari, Mohammad, et al.
Published: (2026)
by: Heydari, Mohammad, et al.
Published: (2026)
Federated Smoothing ADMM for Localization
by: Mirzaeifard, Reza, et al.
Published: (2025)
by: Mirzaeifard, Reza, et al.
Published: (2025)
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
by: Yang, Xiaohong, et al.
Published: (2025)
by: Yang, Xiaohong, et al.
Published: (2025)
Certified Unlearning in Decentralized Federated Learning
by: Wu, Hengliang, et al.
Published: (2026)
by: Wu, Hengliang, et al.
Published: (2026)
Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
by: Pirayeshshirazinezhad, Reza
Published: (2026)
by: Pirayeshshirazinezhad, Reza
Published: (2026)
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
by: Liu, Bohan, et al.
Published: (2025)
by: Liu, Bohan, et al.
Published: (2025)
Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning
by: Kainuma, Haruki, et al.
Published: (2025)
by: Kainuma, Haruki, et al.
Published: (2025)
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
by: Liu, Ji, et al.
Published: (2025)
by: Liu, Ji, et al.
Published: (2025)
Machine Learning-Assisted Surrogate Modeling with Multi-Objective Optimization and Decision-Making of a Steam Methane Reforming Reactor
by: Nabavi, Seyed Reza, et al.
Published: (2025)
by: Nabavi, Seyed Reza, et al.
Published: (2025)
Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
by: Zhou, Richeng, et al.
Published: (2026)
by: Zhou, Richeng, et al.
Published: (2026)
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
by: Bruys, Thomas, et al.
Published: (2024)
by: Bruys, Thomas, et al.
Published: (2024)
Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
by: Pan, Sheng, et al.
Published: (2026)
by: Pan, Sheng, et al.
Published: (2026)
Machine Learning from Explanations
by: Tao, Jiashu, et al.
Published: (2025)
by: Tao, Jiashu, et al.
Published: (2025)
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
by: Yu, Wenrui, et al.
Published: (2024)
by: Yu, Wenrui, et al.
Published: (2024)
Similar Items
-
Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach
by: Jahani, Reza, et al.
Published: (2025) -
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
by: Reza, Md Farhamdur, et al.
Published: (2025) -
Conceal, Reconstruct, Jailbreak: Exploiting the Reconstruction-Concealment Tradeoff in MLLMs
by: Reza, Md Farhamdur, et al.
Published: (2026) -
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
by: Pervej, Md Ferdous, et al.
Published: (2023) -
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
by: Jin, Richeng, et al.
Published: (2020)