GitHub - liuying350169/FLSurvey

Name		Name	Last commit message	Last commit date
07307098.pdf		07307098.pdf
08451859.pdf		08451859.pdf
08580364.pdf		08580364.pdf
2016-H神-Federated Learning of Deep Networks using Model Averaging.pdf		2016-H神-Federated Learning of Deep Networks using Model Averaging.pdf
2016-J神-AIDE Fast and Communication Efficient Distributed Optimization.pdf		2016-J神-AIDE Fast and Communication Efficient Distributed Optimization.pdf
2016-J神-Distributed optimization with arbitrary local solvers.pdf		2016-J神-Distributed optimization with arbitrary local solvers.pdf
2016-J神-Federated OptimizationDistributed Machine Learning for On-Device Intelligence.pdf		2016-J神-Federated OptimizationDistributed Machine Learning for On-Device Intelligence.pdf
2016-J神-Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting.pdf		2016-J神-Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting.pdf
2017---重点可以参考的Survey 学习其写作方式---Survey.pdf		2017---重点可以参考的Survey 学习其写作方式---Survey.pdf
2017-CDMAKE-The More the Merrier - Federated Learning from Local Sphere Recommendations.pdf		2017-CDMAKE-The More the Merrier - Federated Learning from Local Sphere Recommendations.pdf
2017-FL-Communication-efficient learning of deep networks from decentralized data.pdf		2017-FL-Communication-efficient learning of deep networks from decentralized data.pdf
2017-FL-FEDERATED LEARNING STRATEGIES FOR IMPROVING COMMUNICATION EFFICIENCY.pdf		2017-FL-FEDERATED LEARNING STRATEGIES FOR IMPROVING COMMUNICATION EFFICIENCY.pdf
2017-H神-A Survey of Algorithms and Analysis for Adaptive Online Learning.pdf		2017-H神-A Survey of Algorithms and Analysis for Adaptive Online Learning.pdf
2017-H神-Communication-Efficient Learning of Deep Networks from Decentralized Data.pdf		2017-H神-Communication-Efficient Learning of Deep Networks from Decentralized Data.pdf
2017-H神-Deep Learning with Differential Privacy.pdf		2017-H神-Deep Learning with Differential Privacy.pdf
2017-H神-Distributed Mean Estimation with Limited Communication.pdf		2017-H神-Distributed Mean Estimation with Limited Communication.pdf
2017-H神-Learning Differentially Private Language Models Without Losing Accuracy.pdf		2017-H神-Learning Differentially Private Language Models Without Losing Accuracy.pdf
2017-H神-On the Protection of Private Information in Machine Learning Systems Two Recent Approches.pdf		2017-H神-On the Protection of Private Information in Machine Learning Systems Two Recent Approches.pdf
2017-J神-One-Shot-Learning Gesture Recognition Using HOG-HOF Features.pdf		2017-J神-One-Shot-Learning Gesture Recognition Using HOG-HOF Features.pdf
2017-J神-Semi-stochastic coordinate descent.pdf		2017-J神-Semi-stochastic coordinate descent.pdf
2017-J神-Stochastic, Distributed and Federated Optimization for Machine Learning.pdf		2017-J神-Stochastic, Distributed and Federated Optimization for Machine Learning.pdf
2017-NIPS联合多任务学习-Federated Multi-Task Learning.pdf		2017-NIPS联合多任务学习-Federated Multi-Task Learning.pdf
2017-arxiv-Differentially Private Federated Learning A Client Level Perspective.pdf		2017-arxiv-Differentially Private Federated Learning A Client Level Perspective.pdf
2017-arxiv-Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning.pdf		2017-arxiv-Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning.pdf
2017-arxiv-Practical Secure Aggregation for Federated Learning on User-Held Data.pdf		2017-arxiv-Practical Secure Aggregation for Federated Learning on User-Held Data.pdf
2017-arxiv-Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.pdf		2017-arxiv-Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.pdf
2017-arxiv-Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.pdf		2017-arxiv-Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.pdf
2018-FL+KWS-FEDERATED LEARNING FOR KEYWORD SPOTTING.pdf		2018-FL+KWS-FEDERATED LEARNING FOR KEYWORD SPOTTING.pdf
2018-FL+KWS-FEDERATED LEARNING FOR KEYWORD SPOTTING.txt		2018-FL+KWS-FEDERATED LEARNING FOR KEYWORD SPOTTING.txt
2018-FL+erlang语言-Functional Federated Learning in Erlang (ffl-erl).pdf		2018-FL+erlang语言-Functional Federated Learning in Erlang (ffl-erl).pdf
2018-FL+云计算-Federated Learning via Over-the-Air Computation.pdf		2018-FL+云计算-Federated Learning via Over-the-Air Computation.pdf
2018-FL+可靠的低通耗网络-Federated Learning for Ultra-Reliable Low-Latency V2V Communications.pdf		2018-FL+可靠的低通耗网络-Federated Learning for Ultra-Reliable Low-Latency V2V Communications.pdf
2018-FL+实体Resolution-Entity Resolution and Federated Learning get a Federated Resolution.pdf		2018-FL+实体Resolution-Entity Resolution and Federated Learning get a Federated Resolution.pdf
2018-FL+边缘计算-In-Edge AI Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning.pdf		2018-FL+边缘计算-In-Edge AI Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning.pdf
2018-FL减少终端资源要求-EXPANDING THE REACH OF FEDERATED LEARNING BY REDUCING CLIENT RESOURCE REQUIREMENTS.pdf		2018-FL减少终端资源要求-EXPANDING THE REACH OF FEDERATED LEARNING BY REDUCING CLIENT RESOURCE REQUIREMENTS.pdf
2018-FL减少终端资源要求-EXPANDING THE REACH OF FEDERATED LEARNING BY REDUCING CLIENT RESOURCE REQUIREMENTS.txt		2018-FL减少终端资源要求-EXPANDING THE REACH OF FEDERATED LEARNING BY REDUCING CLIENT RESOURCE REQUIREMENTS.txt
2018-FL分布式医学数据研究-Federated Learning in Distributed Medical Databases Meta-Analysis of Large-Scale Subcortical Brain Data.pdf		2018-FL分布式医学数据研究-Federated Learning in Distributed Medical Databases Meta-Analysis of Large-Scale Subcortical Brain Data.pdf
2018-FL分布式医学数据研究-Federated Learning in Distributed Medical Databases Meta-Analysis of Large-Scale Subcortical Brain Data.txt		2018-FL分布式医学数据研究-Federated Learning in Distributed Medical Databases Meta-Analysis of Large-Scale Subcortical Brain Data.txt
2018-FL安全性问题-Protection Against Reconstruction and Its Applications in Private Federated Learning.pdf		2018-FL安全性问题-Protection Against Reconstruction and Its Applications in Private Federated Learning.pdf
2018-FL安全性问题-Protection Against Reconstruction and Its Applications in Private Federated Learning.txt		2018-FL安全性问题-Protection Against Reconstruction and Its Applications in Private Federated Learning.txt
2018-FL安全性问题及解决方案-How to Backdoor Federated Learning.pdf		2018-FL安全性问题及解决方案-How to Backdoor Federated Learning.pdf
2018-FL安全性问题及解决方案-How to Backdoor Federated Learning.txt		2018-FL安全性问题及解决方案-How to Backdoor Federated Learning.txt
2018-Google提升谷歌键盘查询速度-APPLIED FEDERATED LEARNING IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS.pdf		2018-Google提升谷歌键盘查询速度-APPLIED FEDERATED LEARNING IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS.pdf
2018-Google提升谷歌键盘查询速度-APPLIED FEDERATED LEARNING IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS.txt		2018-Google提升谷歌键盘查询速度-APPLIED FEDERATED LEARNING IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS.txt
2018-Google谷歌键盘-FEDERATED LEARNING FOR MOBILE KEYBOARD PREDICTION.pdf		2018-Google谷歌键盘-FEDERATED LEARNING FOR MOBILE KEYBOARD PREDICTION.pdf
2018-Google谷歌键盘-FEDERATED LEARNING FOR MOBILE KEYBOARD PREDICTION.txt		2018-Google谷歌键盘-FEDERATED LEARNING FOR MOBILE KEYBOARD PREDICTION.txt
2018-Noniid+联合蒸馏+增强-Communication-Efficient On-Device Machine Learning Federated Distillation and Augmentation under Non-IID Private Data.pdf		2018-Noniid+联合蒸馏+增强-Communication-Efficient On-Device Machine Learning Federated Distillation and Augmentation under Non-IID Private Data.pdf
2018-Noniid+联合蒸馏+增强-Communication-Efficient On-Device Machine Learning Federated Distillation and Augmentation under Non-IID Private Data.txt		2018-Noniid+联合蒸馏+增强-Communication-Efficient On-Device Machine Learning Federated Distillation and Augmentation under Non-IID Private Data.txt
2018-Noniid-Federated Learning with Non-IID Data.pdf		2018-Noniid-Federated Learning with Non-IID Data.pdf
2018-健康记录-Federated learning of predictive models from federated Electronic Health Records.pdf		2018-健康记录-Federated learning of predictive models from federated Electronic Health Records.pdf
2018-减少FL中毒-Mitigating Sybils in Federated Learning Poisoning.pdf		2018-减少FL中毒-Mitigating Sybils in Federated Learning Poisoning.pdf
2018-分布式健康记录-FADL Federated-Autonomous Deep Learning for Distributed Electronic Health Record.pdf		2018-分布式健康记录-FADL Federated-Autonomous Deep Learning for Distributed Electronic Health Record.pdf
2018-区块链+FL-On-Device Federated Learning via Blockchain and its Latency Analysis.pdf		2018-区块链+FL-On-Device Federated Learning via Blockchain and its Latency Analysis.pdf
2018-基于对抗性Lens分析FL-Analyzing Federated Learning through an Adversarial Lens.pdf		2018-基于对抗性Lens分析FL-Analyzing Federated Learning through an Adversarial Lens.pdf
2018-多对象-Multi-objective Evolutionary Federated Learning.pdf		2018-多对象-Multi-objective Evolutionary Federated Learning.pdf
2018-无线虚拟VR网络-Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks.pdf		2018-无线虚拟VR网络-Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks.pdf
2018-杨强安全迁移学习-Secure Federated Transfer Learning.pdf		2018-杨强安全迁移学习-Secure Federated Transfer Learning.pdf
2018-根据节点质量的Client筛选-Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge.pdf		2018-根据节点质量的Client筛选-Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge.pdf
2018-用FL解决车联网的排队问题-Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications.pdf		2018-用FL解决车联网的排队问题-Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications.pdf
2018-联邦元推荐系统-Federated Meta-Learning for Recommendation.pdf		2018-联邦元推荐系统-Federated Meta-Learning for Recommendation.pdf
2018-通信相关-Joint Service Pricing and Cooperative Relay Communication for Federated Learning.pdf		2018-通信相关-Joint Service Pricing and Cooperative Relay Communication for Federated Learning.pdf
2018-隐私保护FL-A Hybrid Approach to Privacy-Preserving Federated Learning.pdf		2018-隐私保护FL-A Hybrid Approach to Privacy-Preserving Federated Learning.pdf
2018-隐私安全性分析-Comprehensive Privacy Analysis of Deep Learning.pdf		2018-隐私安全性分析-Comprehensive Privacy Analysis of Deep Learning.pdf
2019-CMU的短文5页，一次性FL，最佳top k的候选模型集合，模型蒸馏的可行性探索（还不够完备）-One-Shot Federated Learning.pdf		2019-CMU的短文5页，一次性FL，最佳top k的候选模型集合，模型蒸馏的可行性探索（还不够完备）-One-Shot Federated Learning.pdf
2019-CMU的短文5页，一次性FL，最佳top k的候选模型集合，模型蒸馏的可行性探索（还不够完备）-One-Shot Federated Learning.txt		2019-CMU的短文5页，一次性FL，最佳top k的候选模型集合，模型蒸馏的可行性探索（还不够完备）-One-Shot Federated Learning.txt
2019-FL+p2p图计算相当于一个局部聚合的方式，以拓扑图，P2P的对一个节点与一跳邻居节点的模型进行聚合-Peer-to-Peer Federated Learning on Graphs.pdf		2019-FL+p2p图计算相当于一个局部聚合的方式，以拓扑图，P2P的对一个节点与一跳邻居节点的模型进行聚合-Peer-to-Peer Federated Learning on Graphs.pdf
2019-FL+p2p图计算相当于一个局部聚合的方式，以拓扑图，P2P的对一个节点与一跳邻居节点的模型进行聚合-Peer-to-Peer Federated Learning on Graphs.txt		2019-FL+p2p图计算相当于一个局部聚合的方式，以拓扑图，P2P的对一个节点与一跳邻居节点的模型进行聚合-Peer-to-Peer Federated Learning on Graphs.txt
2019-Google+AFL+FL不可知论研究+全理论性文章-Agnostic Federated Learning.pdf		2019-Google+AFL+FL不可知论研究+全理论性文章-Agnostic Federated Learning.pdf
2019-Google+AFL+FL不可知论研究+全理论性文章-Agnostic Federated Learning.txt		2019-Google+AFL+FL不可知论研究+全理论性文章-Agnostic Federated Learning.txt
2019-Google原先那波人，将FL工作系统化，规模化研究+定义了一些问题和未来方向-TOWARDS FEDERATED LEARNING AT SCALE SYSTEM DESIGN.pdf		2019-Google原先那波人，将FL工作系统化，规模化研究+定义了一些问题和未来方向-TOWARDS FEDERATED LEARNING AT SCALE SYSTEM DESIGN.pdf
2019-Google原先那波人，将FL工作系统化，规模化研究+定义了一些问题和未来方向-TOWARDS FEDERATED LEARNING AT SCALE SYSTEM DESIGN.txt		2019-Google原先那波人，将FL工作系统化，规模化研究+定义了一些问题和未来方向-TOWARDS FEDERATED LEARNING AT SCALE SYSTEM DESIGN.txt
2019-Survey杨强-安全方面相关工作+横纵向分类-Federated+Machine+Learning-+Concept+and+Applications.pdf		2019-Survey杨强-安全方面相关工作+横纵向分类-Federated+Machine+Learning-+Concept+and+Applications.pdf
2019-先进院工程型+机器人自主导航问题+强化学习+迁移学习+新场景适应+FL-Lifelong Federated Reinforcement Learning A Learning Architecture for Navigation in Cloud Robotic Systems.pdf		2019-先进院工程型+机器人自主导航问题+强化学习+迁移学习+新场景适应+FL-Lifelong Federated Reinforcement Learning A Learning Architecture for Navigation in Cloud Robotic Systems.pdf
2019-先进院工程型+机器人自主导航问题+强化学习+迁移学习+新场景适应+FL-Lifelong Federated Reinforcement Learning A Learning Architecture for Navigation in Cloud Robotic Systems.txt		2019-先进院工程型+机器人自主导航问题+强化学习+迁移学习+新场景适应+FL-Lifelong Federated Reinforcement Learning A Learning Architecture for Navigation in Cloud Robotic Systems.txt
2019-微众ppt-TTF_tutorial_2019_中文.pdf		2019-微众ppt-TTF_tutorial_2019_中文.pdf
2019-杨强无损FL框架多方设置+隐私安全+仅一方有标签+纵向FL+无损-SecureBoost A Lossless Federated Learning Framework.pdf		2019-杨强无损FL框架多方设置+隐私安全+仅一方有标签+纵向FL+无损-SecureBoost A Lossless Federated Learning Framework.pdf
2019-杨强无损FL框架多方设置+隐私安全+仅一方有标签+纵向FL+无损-SecureBoost A Lossless Federated Learning Framework.txt		2019-杨强无损FL框架多方设置+隐私安全+仅一方有标签+纵向FL+无损-SecureBoost A Lossless Federated Learning Framework.txt
2019-杨强，联合强化学习强化学习+联邦学习+强行蹭的-Federated Reinforcement Learning.pdf		2019-杨强，联合强化学习强化学习+联邦学习+强行蹭的-Federated Reinforcement Learning.pdf
2019-杨强，联合强化学习强化学习+联邦学习+强行蹭的-Federated Reinforcement Learning.txt		2019-杨强，联合强化学习强化学习+联邦学习+强行蹭的-Federated Reinforcement Learning.txt
2019-电子医疗建档+MIT+哈佛+清华-Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical.pdf		2019-电子医疗建档+MIT+哈佛+清华-Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical.pdf
2019-电子医疗建档+MIT+哈佛+清华-Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical.txt		2019-电子医疗建档+MIT+哈佛+清华-Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical.txt
2019-稀疏三元压缩解决通信开销，考虑下行通信和noniid-Efficient Federated Learning from Non-IID Data.pdf		2019-稀疏三元压缩解决通信开销，考虑下行通信和noniid-Efficient Federated Learning from Non-IID Data.pdf
2019-稀疏三元压缩解决通信开销，考虑下行通信和noniid-Robust and Communication-Efficient Federated Learning from Non-IID Data.txt		2019-稀疏三元压缩解决通信开销，考虑下行通信和noniid-Robust and Communication-Efficient Federated Learning from Non-IID Data.txt
2019-谷歌键盘输入预测+Google-Federated Learning Of Out-Of-Vocabulary Words.pdf		2019-谷歌键盘输入预测+Google-Federated Learning Of Out-Of-Vocabulary Words.pdf
2019-谷歌键盘输入预测+Google-Federated Learning Of Out-Of-Vocabulary Words.txt		2019-谷歌键盘输入预测+Google-Federated Learning Of Out-Of-Vocabulary Words.txt
2019-高效异步通信聚合+学校比较一般+可信度有待考证-Communication Asynchronous Model Update and Temporally Weighted Aggregation.pdf		2019-高效异步通信聚合+学校比较一般+可信度有待考证-Communication Asynchronous Model Update and Temporally Weighted Aggregation.pdf
A Performance Evaluation of Federated Learning Algorithms.pdf		A Performance Evaluation of Federated Learning Algorithms.pdf
Federated Learning Based Proactive Content Caching in Edge Computing.pdf		Federated Learning Based Proactive Content Caching in Edge Computing.pdf
Federated Machine Learning for Translational Research.pdf		Federated Machine Learning for Translational Research.pdf
Federated Online Learning to Rank with Evolution Strategies.pdf		Federated Online Learning to Rank with Evolution Strategies.pdf
Federated Region-Learning- An Edge Computing Based Framework for Urban Environment Sensing.pdf		Federated Region-Learning- An Edge Computing Based Framework for Urban Environment Sensing.pdf
Human Activity Recognition Using Federated Learning.pdf		Human Activity Recognition Using Federated Learning.pdf
Real-Time Data Processing Architecture for MultiRobots Based on Differential Federated Learning .pdf		Real-Time Data Processing Architecture for MultiRobots Based on Differential Federated Learning .pdf

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