1. Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
   2025/09/18 by Lei Wang, Wang, Lei, Letian Zhang +4 · 3 citations
   Computer Science · #Adaptation (eye) #Benchmark (surveying) #Domain Adaptation and Few-Shot Learning #Federated learning #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data #Representation (politics) #Scheme (mathematics) #Selection (genetic algorithm)
2. FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
   2025/05/10 by Jiacheng Wang, Wang, Jiacheng, Hongtao Lv +3 · 2 citations
   Computer Science · Decision Sciences · #Adaptability #Aggregate (composite) #Big Data and Digital Economy #Component (thermodynamics) #Data Quality and Management #Data modeling #FOS: Computer and information sciences #Federated learning #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Resource (disambiguation) #Unified Model
3. Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
   2025/04/27 by Qianren Mao, Mao, Qianren, Qili Zhang +24 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #Credibility #Cryptography and Data Security #Differential privacy #Distributed learning #Domain (mathematical analysis) #Encryption #FOS: Computer and information sciences #Federated learning #Homomorphic encryption #Information privacy #Overhead (engineering) #Privacy-Preserving Technologies in Data
4. A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
   2025/04/06 by Hengrui Hu, Anai N. Kothari, Hu, Hengrui +3 · 1 citation
   Computer Science · #Convergence (economics) #Data Stream Mining Techniques #Distillation #FOS: Computer and information sciences #Federated learning #Independent and identically distributed random variables #MNIST database #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multinomial logistic regression #Overhead (engineering) #Perceptron #Personalization #Privacy-Preserving Technologies in Data
5. PluralLLM: Pluralistic Alignment in LLMs via Federated Learning
   2025/03/13 by Mahmoud Srewa, Srewa, Mahmoud, Tianyu Zhao +3 · 5 citations
   Computer Science · Social Sciences · #Aggregate (composite) #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Federated learning #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Preference #Preference learning #Privacy-Preserving Technologies in Data #Reinforcement learning #Scalability
6. Byzantine-Resilient Federated Learning via Distributed Optimization
   2025/03/13 by Wenrui Yu, Xia, Yufei, Yu, Wenrui +2 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Adversarial system #Artificial Intelligence (cs.AI) #Byzantine fault tolerance #Distributed learning #FOS: Computer and information sciences #Federated learning #Machine Learning (cs.LG) #Noise (video) #Optimization problem #Privacy-Preserving Technologies in Data #Resilience (materials science) #Stochastic Gradient Optimization Techniques
7. pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
   2025/01/16 by Zhou Ni, Ni, Zhou, Masoud Ghazikor +3 · 3 citations
   Computer Science · Engineering · #Advanced MIMO Systems Optimization #Computer network #Computer science #Cooperative Communication and Network Coding #Data science #Distributed computing #FOS: Computer and information sciences #Federated learning #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Privacy-Preserving Technologies in Data #Telecommunications #Wireless #Wireless network
8. Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
   2024/10/22 by Tao Li, Li, Tao, Henger Li +9 · 5 citations
   Medicine · #Artificial intelligence #Computer science #Computer security #Economics #Federated learning #HIV, Drug Use, Sexual Risk #Microeconomics #Stackelberg competition
9. Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival
   2024/08/12 by Md Ferdous Pervej, Ferdous Pervej, Minseok Choi +4 · 1 citation
   Computer Science · Engineering · #Artificial intelligence #Computer network #Computer science #Cooperative Communication and Network Coding #Federated learning #Online learning #Privacy-Preserving Technologies in Data #Resource (disambiguation) #Telecommunications #Wireless #Wireless Networks and Protocols #Wireless network #World Wide Web #cs.DC #cs.LG #cs.NI #cs.SY #eess.SY
10. Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas
    2024/08/11 by Judith Sáinz-Pardo Díaz, Díaz, Judith Sáinz-Pardo, María Castrillo +16 · 2 citations
    Earth and Planetary Sciences · #Artificial intelligence #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer science #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Federated learning #Geography #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Meteorology #Nowcasting #Precipitation #Precipitation Measurement and Analysis #Radar #Telecommunications
11. FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios
    2024/07/17 by Zekai Chen, Chentao Jia, Chen, Zekai +9 · 3 citations
    Social Sciences · #Access Control and Trust #Artificial intelligence #Computer science #Distributed #Distributed computing #FOS: Computer and information sciences #Federated learning #Machine learning #Parallel #Pruning #and Cluster Computing (cs.DC)
12. Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
    2024/06/15 by Yukai Xu, Xu, Yukai, Jingfeng Zhang +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Cryptography and Security (cs.CR) #Data science #FOS: Computer and information sciences #Federated learning #Health care #Internet privacy #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
13. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
    2024/02/05 by Shahryar Zehtabi, Dong-Jun Han, Zehtabi, Shahryar +7 · 4 citations
    Computer Science · #Artificial intelligence #Computer science #Convergence (economics) #Cryptography and Data Security #Distributed #Economic growth #Economics #FOS: Computer and information sciences #Federated learning #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
14. Gradient Coreset for Federated Learning
    2024/01/13 by Durga Sivasubramanian, Lokesh Nagalapatti, Sivasubramanian, Durga +5 · 4 citations
    Computer Science · #Artificial intelligence #Computer science #Data mining #FOS: Computer and information sciences #Feature (linguistics) #Feature selection #Federated learning #Machine Learning (cs.LG) #Machine learning #Noise (video) #Overhead (engineering) #Privacy-Preserving Technologies in Data #Selection (genetic algorithm)
15. Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
    2023/12/18 by Nikita Kotelevskii, Kotelevskii, Nikita, Samuel Horváth +7 · 2 citations
    Computer Science · Mathematics · Medicine · #Artificial intelligence #Computer science #Data mining #Data science #FOS: Computer and information sciences #Federated learning #MRI in cancer diagnosis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Personalization #Point (geometry) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference #World Wide Web
16. Multi-dimensional Fair Federated Learning
    2023/12/09 by Cong Su, Guoxian Yu, Su, Cong +9 · 2 citations
    Computer Science · Mathematics · Social Sciences · #Artificial intelligence #Benchmark (surveying) #Computer science #Construct (python library) #Data mining #Differential privacy #Disadvantaged #FOS: Computer and information sciences #Federated learning #Generalization #Law #Machine Learning (cs.LG) #Machine learning #Mathematics #Minification #Political science #Population #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
17. DiLoCo: Distributed Low-Communication Training of Language Models
    2023/11/14 by Arthur Douillard, Qixuan Feng, Douillard, Arthur +16 · 6 voices · 44 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial intelligence #Computer science #Distributed computing #Federated learning #Ferroelectric and Negative Capacitance Devices #Language model #Leverage (statistics) #Machine learning #Robustness (evolution) #Topic Modeling #Training set
18. Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering
    2023/10/24 by Md Rafi Ur Rashid, Vishnu Asutosh Dasu, Rashid, Md Rafi Ur +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Adversary #Artificial intelligence #Computer science #Computer security #Data mining #Federated learning #Inference #Information privacy #Information sensitivity #Key (lock) #Language model #Leakage (economics) #Memorization #Privacy-Preserving Technologies in Data #Private information retrieval
19. Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
    2023/10/22 by Zhibo Zhang, Pengfei Li, Zhang, Zhibo +9 · 2 citations
    Engineering · Neuroscience · Psychology · #Advanced Memory and Neural Computing #Artificial intelligence #Brain–computer interface #Computer science #Computer security #Cryptography and Security (cs.CR) #EEG and Brain-Computer Interfaces #Electroencephalography #FOS: Computer and information sciences #FOS: Electrical engineering #Federated learning #Functional Brain Connectivity Studies #Interface (matter) #Machine Learning (cs.LG) #Machine learning #Psychology #Reputation #SIGNAL (programming language) #Signal Processing (eess.SP) #electronic engineering #information engineering
20. Federated adaptive reweighting for medical image classification
    2023/08/14 by Benteng Ma, Yu Feng, Geng Chen +2 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Artificial intelligence #Computer science #Data mining #Federated learning #Machine learning #Privacy-Preserving Technologies in Data #Radiomics and Machine Learning in Medical Imaging #Scheme (mathematics) #Weighting
21. FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning
    2023/07/25 by Huy Quoc Le, Le, Huy Q., Minh N. H. Nguyen +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial intelligence #Autoencoder #Computer science #Deep learning #Embedding #Encoder #FOS: Computer and information sciences #Federated learning #Leverage (statistics) #Machine Learning (cs.LG) #Machine learning #Multimodal learning #Privacy-Preserving Technologies in Data #Transfer of learning
22. A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
    2023/07/20 by Jiawei Shao, Shao, Jiawei, Zijian Li +13 · 6 citations
    Computer Science · #Artificial intelligence #Computer science #Computer security #Cryptography and Data Security #Cryptography and Security (cs.CR) #Economics #FOS: Computer and information sciences #Federated learning #Information leakage #Internet privacy #Leakage (economics) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
23. Locally Adaptive Federated Learning
    2023/07/12 by Sohom Mukherjee, Nicolas Loizou, Mukherjee, Sohom +3 · 4 citations
    Computer Science · Mathematics · #Adaptive optimization #Algorithm #Artificial intelligence #Computer science #FOS: Computer and information sciences #FOS: Mathematics #Federated learning #Hyperparameter #Interpolation (computer graphics) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Regular polygon #Stochastic Gradient Optimization Techniques
24. Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
    2023/06/08 by Baihe Huang, Sai Praneeth Karimireddy, Huang, Baihe +3 · 1 citation
    Computer Science · #Artificial intelligence #Computer Science and Game Theory (cs.GT) #Computer science #Computer security #Computers and Society (cs.CY) #Data science #Distributed #Diversity (politics) #FOS: Computer and information sciences #FOS: Economics and business #Federated learning #Leverage (statistics) #Machine Learning (cs.LG) #Machine learning #Parallel #Population #Principal (computer security) #Privacy-Preserving Technologies in Data #Sociology #Theoretical Economics (econ.TH) #and Cluster Computing (cs.DC)
25. Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
    2023/05/27 by Yihe Zhou, Zhou, Yihe, Shunyu Liu +11 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial intelligence #Code (set theory) #Computer science #Control (management) #Decentralised system #Distributed computing #FOS: Computer and information sciences #Federated learning #Information exchange #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Pruning #Reinforcement Learning in Robotics #Reinforcement learning #State (computer science) #State information #Telecommunications
26. User-Centric Federated Learning: Trading off Wireless Resources for Personalization
    2023/04/25 by Mohamad Mestoukirdi, Mestoukirdi, Mohamad, Matteo Zecchin +5 · 1 citation
    Computer Science · #Aggregate (composite) #Cluster analysis #Computer network #Computer science #Convergence (economics) #Cooperative Communication and Network Coding #Data mining #Distributed computing #FOS: Computer and information sciences #Federated learning #Generalization #Machine Learning (cs.LG) #Machine learning #Node (physics) #Overhead (engineering) #Personalization #Privacy-Preserving Technologies in Data #Rate of convergence #Scheme (mathematics) #Stochastic Gradient Optimization Techniques #Wireless #World Wide Web
27. Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
    2023/04/07 by Rouzbeh Behnia, Behnia, Rouzbeh, Arman Riasi +7 · 2 citations
    Computer Science · #Computer network #Computer science #Computer security #Cryptography and Data Security #Cryptography and Security (cs.CR) #Data aggregator #Dimension (graph theory) #Distributed computing #Encryption #FOS: Computer and information sciences #Federated learning #Homomorphic encryption #Privacy-Preserving Technologies in Data #Protocol (science) #Set (abstract data type) #Stochastic Gradient Optimization Techniques #Theoretical computer science #Verifiable secret sharing #Wireless sensor network
28. Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
    2023/04/06 by Chenrui Wu, Wu, Chenrui, Zexi Li +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial intelligence #Class (philosophy) #Computer science #Data mining #FOS: Computer and information sciences #Federated learning #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine learning #News aggregator #Noise (video) #Privacy-Preserving Technologies in Data #Proxy (statistics) #Solver
29. GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
    2023/03/16 by Xinwei Zhang, Zhang, Xinwei, Mingyi Hong +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Algorithm #Artificial intelligence #Computer science #Data mining #Distributed computing #FOS: Computer and information sciences #Feature (linguistics) #Federated learning #Graph #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Overhead (engineering) #Privacy-Preserving Technologies in Data #Set (abstract data type) #Theoretical computer science #Train #Training set
30. Sparse-SignSGD with Majority Vote for Communication-Efficient Distributed Learning
    2023/02/15 by Chanho Park, Namyoon Lee, Park, Chanho +1 · 1 citation
    Computer Science · Mathematics · #Algorithm #Artificial intelligence #Bottleneck #Computer science #Deep learning #Distributed #Distributed learning #FOS: Computer and information sciences #FOS: Mathematics #Federated learning #Independent and identically distributed random variables #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Mathematics #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Quantization (signal processing) #Sign (mathematics) #Statistics #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)

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