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Advancements in Federated Learning: Models, Methods, and Privacy

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A Comparative Study on Methods for Convergence Acceleration of Iterative Vector Sequences
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Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
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Federated Multi-view Matrix Factorization for Personalized Recommendations
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Multiplier and gradient methods
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Algorithms for nonlinear constraints that use lagrangian functions
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A survey on security and privacy of federated learning
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A survey of federated learning for edge computing: Research problems and solutions
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Cyber security of a power grid: State-of-the-art
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Federated learning of predictive models from federated Electronic Health Records
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Federated transfer learning for disaster classification in social computing networks
inferredcites →https://doi.org/10.1038/s41467-022-29763-xopenalex-snapshot
Communication-efficient federated learning via knowledge distillation
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A federated graph neural network framework for privacy-preserving personalization
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A global dataset for the projected impacts of climate change on four major crops
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Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction
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An overview of multi-task learning
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Low-rank optimization for distance matrix completion
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Federated Learning in Mobile Edge Networks: A Comprehensive Survey
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Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
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UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning
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Proceedings of ICC '93 - IEEE International Conference on Communications
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Hierarchical Over-the-Air Federated Edge Learning
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Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/ieeestd.2021.9382202openalex-snapshot
IEEE Guide for Architectural Framework and Application of Federated Machine Learning
inferredcites →https://doi.org/10.1109/jiot.2019.2962715openalex-snapshot
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications
inferredcites →https://doi.org/10.1109/jiot.2020.2991401openalex-snapshot
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2021.3078543openalex-snapshot
Decentralized Federated Learning via Mutual Knowledge Transfer
inferredcites →https://doi.org/10.1109/jiot.2021.3113927openalex-snapshot
Federated Learning With Soft Clustering
inferredcites →https://doi.org/10.1109/jsac.2019.2904348openalex-snapshot
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
inferredcites →https://doi.org/10.1109/jsac.2021.3118344openalex-snapshot
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations
inferredcites →https://doi.org/10.1109/jsac.2021.3118348openalex-snapshot
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
inferredcites →https://doi.org/10.1109/jsac.2021.3118402openalex-snapshot
Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation
inferredcites →https://doi.org/10.1109/jsac.2021.3118415openalex-snapshot
Communication-Efficient Federated Learning With Binary Neural Networks
inferredcites →https://doi.org/10.1109/jsen.2021.3076767openalex-snapshot
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
inferredcites →https://doi.org/10.1109/lcomm.2019.2921755openalex-snapshot
Blockchained On-Device Federated Learning
inferredcites →https://doi.org/10.1109/lcomm.2021.3095362openalex-snapshot
Fully Decentralized Federated Learning-Based On-Board Mission for UAV Swarm System
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mcom.001.1900461openalex-snapshot
Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges
inferredcites →https://doi.org/10.1109/mcom.2016.7509395openalex-snapshot
Sparse mobile crowdsensing: challenges and opportunities
inferredcites →https://doi.org/10.1109/mis.2020.3014880openalex-snapshot
Secure Federated Matrix Factorization
inferredcites →https://doi.org/10.1109/mnet.001.1900658openalex-snapshot
PIRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks
inferredcites →https://doi.org/10.1109/mnet.011.2000430openalex-snapshot
Federated Learning in Vehicular Networks: Opportunities and Solutions
inferredcites →https://doi.org/10.1109/mnet.2019.1800286openalex-snapshot
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/sp.2019.00065openalex-snapshot
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
inferredcites →https://doi.org/10.1109/tbdata.2022.3167994openalex-snapshot
Adaptive Client Clustering for Efficient Federated Learning Over Non-IID and Imbalanced Data
inferredcites →https://doi.org/10.1109/tc.2012.62openalex-snapshot
Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm
inferredcites →https://doi.org/10.1109/tccn.2021.3102971openalex-snapshot
Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks
inferredcites →https://doi.org/10.1109/tifs.2017.2787987openalex-snapshot
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
inferredcites →https://doi.org/10.1109/tii.2021.3065719openalex-snapshot
A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing
inferredcites →https://doi.org/10.1109/tii.2021.3095506openalex-snapshot
Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration
inferredcites →https://doi.org/10.1109/tits.2022.3157056openalex-snapshot
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction
inferredcites →https://doi.org/10.1109/tkde.2017.2657624openalex-snapshot
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting
inferredcites →https://doi.org/10.1109/tkde.2021.3070203openalex-snapshot
A Survey on Multi-Task Learning
inferredcites →https://doi.org/10.1109/tmm.2015.2477680openalex-snapshot
Multi-Task CNN Model for Attribute Prediction
inferredcites →https://doi.org/10.1109/tnnls.2020.3015958openalex-snapshot
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
inferredcites →https://doi.org/10.1109/tnnls.2022.3182979openalex-snapshot
Backdoor Learning: A Survey
inferredcites →https://doi.org/10.1109/tnnls.2023.3297103openalex-snapshot
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare
inferredcites →https://doi.org/10.1109/tnnls.2023.3329249openalex-snapshot
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
inferredcites →https://doi.org/10.1109/tnnls.2024.3354924openalex-snapshot
A Survey on Federated Recommendation Systems
inferredcites →https://doi.org/10.1109/tpami.2017.2679002openalex-snapshot
Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification
inferredcites →https://doi.org/10.1109/tpds.2020.2975189openalex-snapshot
Accelerating Federated Learning via Momentum Gradient Descent
inferredcites →https://doi.org/10.1109/tpds.2021.3138848openalex-snapshot
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
inferredcites →https://doi.org/10.1109/tpds.2021.3138977openalex-snapshot
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning
inferredcites →https://doi.org/10.1109/tpds.2022.3186960openalex-snapshot
Context-Aware Online Client Selection for Hierarchical Federated Learning
inferredcites →https://doi.org/10.1109/tpds.2022.3202887openalex-snapshot
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee
inferredcites →https://doi.org/10.1109/tsipn.2022.3151242openalex-snapshot
Decentralized Federated Learning: Balancing Communication and Computing Costs
inferredcites →https://doi.org/10.1109/tsipn.2022.3205549openalex-snapshot
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
inferredcites →https://doi.org/10.1109/tsp.2014.2304432openalex-snapshot
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
inferredcites →https://doi.org/10.1109/tsp.2015.2436358openalex-snapshot
DLM: Decentralized Linearized Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.1109/tvt.2021.3135541openalex-snapshot
Adaptive Hierarchical Federated Learning Over Wireless Networks
inferredcites →https://doi.org/10.1109/twc.2019.2961673openalex-snapshot
Federated Learning via Over-the-Air Computation
inferredcites →https://doi.org/10.1109/twc.2022.3162595openalex-snapshot
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data
inferredcites →https://doi.org/10.1109/twc.2022.3175887openalex-snapshot
Federated Learning via Over-the-Air Computation With Statistical Channel State Information
inferredcites →https://doi.org/10.1137/10078356xopenalex-snapshot
Anderson Acceleration for Fixed-Point Iterations
inferredcites →https://doi.org/10.1137/120896219openalex-snapshot
Fast Alternating Direction Optimization Methods
inferredcites →https://doi.org/10.1137/16m1080173openalex-snapshot
Optimization Methods for Large-Scale Machine Learning
inferredcites →https://doi.org/10.1145/1143844.1143880openalex-snapshot
R 1 -PCA
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/1526709openalex-snapshot
Proceedings of the 18th international conference on World wide web
inferredcites →https://doi.org/10.1145/2396761.2398508openalex-snapshot
Web-scale multi-task feature selection for behavioral targeting
inferredcites →https://doi.org/10.1145/2556195.2556264openalex-snapshot
Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising
inferredcites →https://doi.org/10.1145/3212509openalex-snapshot
Efficient Privacy-Preserving Matrix Factorization for Recommendation via Fully Homomorphic Encryption
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3314398openalex-snapshot
Privacy-preserving Cross-domain Location Recommendation
inferredcites →https://doi.org/10.1145/3355089.3356491openalex-snapshot
Accelerating ADMM for efficient simulation and optimization
inferredcites →https://doi.org/10.1145/3397271openalex-snapshot
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3418283openalex-snapshot
Industrial Federated Topic Modeling
inferredcites →https://doi.org/10.1145/3447548.3467185openalex-snapshot
FLOP: Federated Learning on Medical Datasets using Partial Networks
inferredcites →https://doi.org/10.1145/3447548.3467371openalex-snapshot
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
inferredcites →https://doi.org/10.1145/3459637.3482252openalex-snapshot
Differentially Private Federated Knowledge Graphs Embedding
inferredcites →https://doi.org/10.1145/3459637.3482345openalex-snapshot
FedMatch
inferredcites →https://doi.org/10.1145/3502223.3502233openalex-snapshot
FedE: Embedding Knowledge Graphs in Federated Setting
inferredcites →https://doi.org/10.1145/3514501openalex-snapshot
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device
inferredcites →https://doi.org/10.1145/3570361.3613277openalex-snapshot
Federated Few-Shot Learning for Mobile NLP
inferredcites →https://doi.org/10.1145/3570959openalex-snapshot
Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation
inferredcites →https://doi.org/10.1145/3583780openalex-snapshot
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3633202openalex-snapshot
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning
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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v36i8.20894openalex-snapshot
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
inferredcites →https://doi.org/10.29012/jpc.v4i1.612openalex-snapshot
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
inferredcites →https://doi.org/10.48550/arxiv.1110.4198openalex-snapshot
A Reliable Effective Terascale Linear Learning System
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signSGD: Compressed Optimisation for Non-Convex Problems
inferredcites →https://doi.org/10.48550/arxiv.1902.04885openalex-snapshot
Federated Machine Learning: Concept and Applications
inferredcites →https://doi.org/10.48550/arxiv.1910.12832openalex-snapshot
Differentially Private Distributed Data Summarization under Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.2003.14053openalex-snapshot
Inverting Gradients -- How easy is it to break privacy in federated learning?
inferredcites →https://doi.org/10.48550/arxiv.2010.13032openalex-snapshot
Byzantine Resilient Distributed Multi-Task Learning
inferredcites →https://doi.org/10.48550/arxiv.2103.02270openalex-snapshot
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
inferredcites →https://doi.org/10.48550/arxiv.2203.02865openalex-snapshot
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2206.09576openalex-snapshot
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
inferredcites →https://doi.org/10.5555/2627435.2638571openalex-snapshot
A reliable effective terascale linear learning system

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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CGKDFL: A Federated Learning Approach Based on Client Clustering and Generator‐Based Knowledge Distillation for Heterogeneous Data
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DCD-FL: A Decentralized Federated Learning Framework for Intrusion Detection in IoT
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Federated Learning
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Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
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Semantically-enriched blockchain audit anchoring for policy-as-code governance in heterogeneous cloud environments: implementation, evaluation, and regulatory mapping
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Decentralized Federated Learning on the Edge Over Wireless Mesh Networks
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Federated Learning for Privacy-Preserving Employee Performance Analytics
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Blockchain-Enabled Access Control Framework for Federated Learning in IoT Environments
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A Secure Aggregation-Based Comparative Analysis of Federated Learning Algorithms on Human Activity Recognition Data
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Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
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A Privacy Aware Digital Twins Framework for Autonomous and Connected Vehicles
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Agentic Meta-Orchestrator for Multi-Task Copilots
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Federated Learning for University Major Recommendation: A Privacy-Aware Approach for Educational Decision Support
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Dynamic Gradient Compression and Attack Defense Strategy for Privacy Enhancement of Heterogeneous Data in Federated Learning
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FIDSUS: Federated Intrusion Detection for Securing UAV Swarms in Smart Aerial Computing
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Heterogeneous Federated Learning for Vehicle-to-Everything: Feature Prototype Aggregation and Generative Feedback Mechanism
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Edge-Based Detection of Label Flipping Attacks in Federated Learning Using Explainable AI
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Accelerating Federated Learning for Edge Intelligence Using Conjugated Central Acceleration With Inexact Global Line Search
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Towards Adaptive Personalized Federated Meta-Learning Recommendation
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Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
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Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges
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An Empirical Study of Federated Learning on IoT–Edge Devices: Resource Allocation and Heterogeneity
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CoCFL: A Lightweight Blockchain-Based Federated Learning Framework for Large-Scale IoT Cluster
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Mixed-Precision Federated Learning via Multi-Precision Over-the-Air Aggregation
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DRAF: A Drift-Resilient Averaging in Federated Learning across the Cloud Edge Continuum
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IVA-FL: An information-value-aware federated learning framework for Privacy-Preserving Financial data Risk Management
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The News Delivery Channel Recommendation Based on Granular Neural Network
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Analysis of the Factors Influencing the Predictive Learning Performance Using Federated Learning
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Federated Graph Neural Network–Deep Reinforcement Learning for Resilient and Trust-Aware Resource Allocation in Zero Trust SDN Networks
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Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond
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Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration
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HE/MPC-Based Scheme for Secure Computing LCM/GCD and Its Application to Federated Learning
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Scalable Federated Learning and Secure Aggregation With Differential Privacy
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Synergistic Integration of Federated Learning and Visual Intelligence for Disease Diagnosis and Prediction
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Toward Resilient Networks: AI and Deep Learning Strategies for Intrusion Detection
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A Novel Distributed ADMM Method in Large-Scale Applications
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Incremental Cubic Regularized SR1 Quasi-Newton Method and the Applications in Large-Scale Problems
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