Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

5 April 2021

Deniz Gündüz

Aneta Vulgarakis Feljan

H. Vincent Poor

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Papers citing "Distributed Learning in Wireless Networks: Recent Progress and Future Challenges"

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Title
The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networks Zhonghao Lyu Ming Xiao Jie Xu Mikael Skoglund Marco Di Renzo 23 0 0 14 May 2025
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 24 0 0 29 Apr 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang 35 0 0 20 Apr 2025
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control Jinhao Ouyang Yuan Liu Hang Liu 36 0 0 02 Apr 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 52 0 0 18 Mar 2025
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge Aladin Djuhera Vlad-Costin Andrei Mohsen Pourghasemian Haris Gacanin Holger Boche Walid Saad MoMe 113 0 0 24 Feb 2025
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network Zijian Zhao Tingwei Chen Zhijie Cai Xiaoyang Li Hang Li Qimei Chen Guangxu Zhu 65 3 0 17 Feb 2025
Distributed Multi-Head Learning Systems for Power Consumption Prediction Jia-Hao Syu Jerry Chun-Wei Lin Philip S. Yu 26 1 0 21 Jan 2025
Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements Tobias Becher Simon Torka 61 0 0 17 Dec 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
Multi-modal Image and Radio Frequency Fusion for Optimizing Vehicle Positioning Ouwen Huan T. Luo Mingzhe Chen 21 1 0 15 Oct 2024
Multi-modal Data based Semi-Supervised Learning for Vehicle Positioning Ouwen Huan Yang Yang T. Luo Mingzhe Chen 19 0 0 15 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models Wenlong Deng Yize Zhao V. Vakilian Minghui Chen Xiaoxiao Li Christos Thrampoulidis 39 3 0 12 Oct 2024
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs Deniz Gündüz Michèle A. Wigger Tze-Yang Tung Ping Zhang Yong Xiao 34 13 0 26 Sep 2024
Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches Yanjie Dong Xiaoyi Fan Fangxin Wang Chengming Li Victor C. M. Leung Xiping Hu 28 5 0 20 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 50 1 0 30 Jul 2024
R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models Aladin Djuhera Vlad-Costin Andrei Xinyan Li U. Mönich Holger Boche Walid Saad 32 2 0 16 Jul 2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation Mahtab Talaei Iman Izadi FedML 24 0 0 26 Jun 2024
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning Jintao Yan Tan Chen Yuxuan Sun Zhaojun Nan Sheng Zhou Zhisheng Niu 29 3 0 25 Jun 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach Yuxuan Chen Rongpeng Li Xiaoxue Yu Zhifeng Zhao Honggang Zhang 42 9 0 03 Jun 2024
Blockchain-aided wireless federated learning: Resource allocation and client scheduling Jun Li Weiwei Zhang Kang Wei Guangji Chen Feng Shu Wen Chen Shi Jin 41 0 0 02 Jun 2024
Decentralized Federated Learning Over Imperfect Communication Channels Weicai Li Tiejun Lv Wei Ni Jingbo Zhao Ekram Hossain H. Vincent Poor FedML 27 3 0 21 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 30 0 0 15 May 2024
Blockchains for Internet of Things: Fundamentals, Applications, and Challenges Yusen Wu Ye Hu Mingzhe Chen Yelena Yesha Mérouane Debbah 28 0 0 08 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 30 0 0 06 May 2024
Distributed Learning for Wi-Fi AP Load Prediction Dariush Salami Francesc Wilhelmi Lorenzo Galati-Giordano Mika Kasslin 29 0 0 22 Apr 2024
Biased Over-the-Air Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi 34 2 0 28 Mar 2024
LOAM: Low-latency Communication, Caching, and Computation Placement in Data-Intensive Computing Networks Jinkun Zhang Edmund Yeh 25 0 0 23 Mar 2024
Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity Shiyuan Zuo Xingrun Yan Rongfei Fan Han Hu Hangguan Shan Tony Q. S. Quek FedML AAML 41 6 0 20 Mar 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 36 8 0 26 Feb 2024
Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks Chunmei Xu Shengheng Liu Yongming Huang Björn E. Ottersten Dusist Niyato FedML 16 2 0 20 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 27 0 0 08 Feb 2024
Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking Yujiao Zhu Ming Chen Sihua Wang Ye Hu Yuchen Liu Changchuan Yin 13 5 0 22 Jan 2024
Vertical Federated Image Segmentation Paul K. Mandal Cole Leo 29 0 0 15 Jan 2024
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution Y. Sagduyu T. Erpek Yi Shi AAML 21 1 0 28 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Federated Quantum Long Short-term Memory (FedQLSTM) Mahdi Chehimi Samuel Yen-Chi Chen Walid Saad Shinjae Yoo FedML 29 16 0 21 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 28 16 0 01 Dec 2023
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 19 3 0 29 Nov 2023
A Joint Gradient and Loss Based Clustered Federated Learning Design Licheng Lin Mingzhe Chen Zhaohui Yang Yusen Wu Yuchen Liu FedML 31 0 0 22 Nov 2023
A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges Xiaojie Wang Hanxue Li Ling Yi Zhaolong Ning Song Guo Yan Zhang GNN OffRL MQ 15 0 0 17 Nov 2023
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning Bibo Wu Fang Fang Xianbin Wang Donghong Cai Shu Fu Zhiguo Ding 26 0 0 03 Nov 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 24 6 0 18 Oct 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei-Neng Chen Khaled B. Letaief FedML 23 11 0 16 Oct 2023
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework Jingheng Zheng Wanli Ni Hui Tian Deniz Gunduz Tony Q. S. Quek Zhu Han FedML 35 8 0 04 Oct 2023
Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach Eslam Eldeeb M. Shehab Hirley Alves 14 6 0 26 Sep 2023
Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission Lunan Sun Yang Yang Mingzhe Chen Caili Guo 19 3 0 19 Sep 2023
SoK: Distributed Computing in ICN Wei Geng Yulong Zhang Dirk Kutscher Abhishek Kumar Sasu Tarkoma Pan Hui GNN 11 1 0 16 Sep 2023
Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck Lunan Sun Caili Guo Mingzhe Chen Yang Yang 11 1 0 15 Sep 2023