Regularized Top-$k$: A Bayesian Framework for Gradient Sparsification
Fuente:
arXiv
Saved in:
| Main Authors: | Bereyhi, Ali, Liang, Ben, Boudreau, Gary, Afana, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Novel Gradient Sparsification Algorithm via Bayesian Inference
by: Bereyhi, Ali, et al.
Published: (2024)
by: Bereyhi, Ali, et al.
Published: (2024)
Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2026)
by: Asaad, Saba, et al.
Published: (2026)
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025)
by: Rosenberger, Hans, et al.
Published: (2025)
Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission
by: Zhang, Chong, et al.
Published: (2025)
by: Zhang, Chong, et al.
Published: (2025)
SegOTA: Accelerating Over-the-Air Federated Learning with Segmented Transmission
by: Zhang, Chong, et al.
Published: (2025)
by: Zhang, Chong, et al.
Published: (2025)
Fast Group Scheduling for Downlink Large-Scale Multi-Group Multicast Beamforming
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
Uplink Over-the-Air Aggregation for Multi-Model Wireless Federated Learning
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
Multi-Model Wireless Federated Learning with Downlink Beamforming
by: Zhang, Chong, et al.
Published: (2023)
by: Zhang, Chong, et al.
Published: (2023)
Graph-based Algorithms for Linear Computation Coding
by: Rosenberger, Hans, et al.
Published: (2024)
by: Rosenberger, Hans, et al.
Published: (2024)
Dynamic and Static Energy Efficient Design of Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2025)
by: Asaad, Saba, et al.
Published: (2025)
FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning
by: Ali, Abdulmoneam, et al.
Published: (2026)
by: Ali, Abdulmoneam, et al.
Published: (2026)
Linear Computation Coding: Exponential Search and Reduced-State Algorithms
by: Rosenberger, Hans, et al.
Published: (2023)
by: Rosenberger, Hans, et al.
Published: (2023)
Rate-Constrained Quantization for Communication-Efficient Federated Learning
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
by: Yue, Yiyang, et al.
Published: (2026)
by: Yue, Yiyang, et al.
Published: (2026)
Automatic Regularization for Linear MMSE Filters
by: Zanco, Daniel Gomes de Pinho, et al.
Published: (2023)
by: Zanco, Daniel Gomes de Pinho, et al.
Published: (2023)
Downlink Beamforming with Pinching-Antenna Assisted MIMO Systems
by: Bereyhi, Ali, et al.
Published: (2025)
by: Bereyhi, Ali, et al.
Published: (2025)
MIMO-PASS: Uplink and Downlink Transmission via MIMO Pinching-Antenna Systems
by: Bereyhi, Ali, et al.
Published: (2025)
by: Bereyhi, Ali, et al.
Published: (2025)
Application of Transformers for Nonlinear Channel Compensation in Optical Systems
by: Hamgini, Behnam Behinaein, et al.
Published: (2023)
by: Hamgini, Behnam Behinaein, et al.
Published: (2023)
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
by: Wang, Shuche, et al.
Published: (2024)
by: Wang, Shuche, et al.
Published: (2024)
Non-Coherent Over-the-Air Decentralized Gradient Descent
by: Michelusi, Nicolo'
Published: (2022)
by: Michelusi, Nicolo'
Published: (2022)
Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy
by: Naeini, Mohammadreza Tavasoli, et al.
Published: (2025)
by: Naeini, Mohammadreza Tavasoli, et al.
Published: (2025)
$r$Age-$k$: Communication-Efficient Federated Learning Using Age Factor
by: Mortaheb, Matin, et al.
Published: (2024)
by: Mortaheb, Matin, et al.
Published: (2024)
Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
by: Ammar, Hussein A., et al.
Published: (2025)
by: Ammar, Hussein A., et al.
Published: (2025)
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, et al.
Published: (2025)
Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
by: Guo, Mingzhao, et al.
Published: (2024)
by: Guo, Mingzhao, et al.
Published: (2024)
Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
by: Beck, Edgar, et al.
Published: (2023)
by: Beck, Edgar, et al.
Published: (2023)
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
by: Zhang, Yunchuan, et al.
Published: (2023)
by: Zhang, Yunchuan, et al.
Published: (2023)
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
by: Zhang, Yunchuan, et al.
Published: (2024)
by: Zhang, Yunchuan, et al.
Published: (2024)
A Measurement Report Data-Driven Framework for Localized Statistical Channel Modeling
by: Qin, Xinyu, et al.
Published: (2025)
by: Qin, Xinyu, et al.
Published: (2025)
A Reinforcement Learning Framework for Resource Allocation in Uplink Carrier Aggregation in the Presence of Self Interference
by: Bodempudi, Jaswanth, et al.
Published: (2025)
by: Bodempudi, Jaswanth, et al.
Published: (2025)
A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff
by: Liang, Zijian, et al.
Published: (2026)
by: Liang, Zijian, et al.
Published: (2026)
Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
by: Abbasi, Ahmed, et al.
Published: (2022)
by: Abbasi, Ahmed, et al.
Published: (2022)
Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
by: Li, Xiaolong, et al.
Published: (2025)
by: Li, Xiaolong, et al.
Published: (2025)
Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
by: Zhao, Junjie, et al.
Published: (2026)
by: Zhao, Junjie, et al.
Published: (2026)
Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
by: Liang, Guangming, et al.
Published: (2025)
by: Liang, Guangming, et al.
Published: (2025)
Wireless Power Control Based on Large Language Models
by: Wang, Jiacheng, et al.
Published: (2026)
by: Wang, Jiacheng, et al.
Published: (2026)
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)
by: Yang, Zhaohui, et al.
Published: (2024)
by: Yang, Zhaohui, et al.
Published: (2024)
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning
by: Ali, Abdulmoneam, et al.
Published: (2024)
by: Ali, Abdulmoneam, et al.
Published: (2024)
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
by: Ali, Abdulmoneam, et al.
Published: (2023)
by: Ali, Abdulmoneam, et al.
Published: (2023)
Efficient Beamforming Optimization for STAR-RIS-Assisted Communications: A Gradient-Based Meta Learning Approach
by: Yang, Dongdong, et al.
Published: (2025)
by: Yang, Dongdong, et al.
Published: (2025)
Similar Items
-
Novel Gradient Sparsification Algorithm via Bayesian Inference
by: Bereyhi, Ali, et al.
Published: (2024) -
Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
by: Asaad, Saba, et al.
Published: (2026) -
Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
by: Rosenberger, Hans, et al.
Published: (2025) -
Improving Wireless Federated Learning via Joint Downlink-Uplink Beamforming over Analog Transmission
by: Zhang, Chong, et al.
Published: (2025) -
SegOTA: Accelerating Over-the-Air Federated Learning with Segmented Transmission
by: Zhang, Chong, et al.
Published: (2025)