Search results for "clients"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai	Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories.	CoRR	2023	DBLP DOI BibTeX RDF
14	Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis	Adaptive Federated Learning with Auto-Tuned Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Shangchao Su, Bin Li 0015, Xiangyang Xue	FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Jiyun Shin, Jinhyun Ahn, Honggu Kang, Joonhyuk Kang	FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Chenrui Wu, Zexi Li 0001, Fangxin Wang 0001, Chao Wu	Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Louis Leconte, Van Minh Nguyen, Eric Moulines	FAVAS: Federated AVeraging with ASynchronous clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini, Vidhi Mittal	PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang	Federated Learning with Extremely Noisy Clients via Negative Distillation.	CoRR	2023	DBLP DOI BibTeX RDF
14	Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen 0010	FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ravi Ganesh	Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning.	CoRR	2023	DBLP DOI BibTeX RDF
14	Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang	NeFL: Nested Federated Learning for Heterogeneous Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Victoria Huang 0001, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi	Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Jiaqi Wang 0002, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.	CoRR	2023	DBLP DOI BibTeX RDF
14	Pratik Agrawal, Philipp Wiesner, Odej Kao	Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Theodoros Kapourniotis, Elham Kashefi, Dominik Leichtle, Luka Music, Harold Ollivier	Asymmetric Quantum Secure Multi-Party Computation With Weak Clients Against Dishonest Majority.	CoRR	2023	DBLP DOI BibTeX RDF
14	Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren 0001, Yunxin Liu, Lili Qiu, Mao Yang	Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations.	CoRR	2023	DBLP DOI BibTeX RDF
14	Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li 0067, Ming Gao	UPFL: Unsupervised Personalized Federated Learning towards New Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Shourya Bose, Kibaek Kim	Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients.	CoRR	2023	DBLP DOI BibTeX RDF
14	Aditya Narayan Ravi, Ilan Shomorony	Utilizing Free Clients in Federated Learning for Focused Model Enhancement.	CoRR	2023	DBLP DOI BibTeX RDF
14	Sahil Samar, Mia Chen, Jack Karpinski, Michael Ray, Archita Sarin, Christian Garcia, Matthew Lange, Joe Stubbs, Mary P. Thomas	Development of Authenticated Clients and Applications for ICICLE CI Services - Final Report for the REHS Program, June-August, 2022.	CoRR	2023	DBLP DOI BibTeX RDF
14	Xiaochun Niu, Ermin Wei	FedHybrid: A Hybrid Federated Optimization Method for Heterogeneous Clients.	IEEE Trans. Signal Process.	2023	DBLP DOI BibTeX RDF
14	Zhenhao Wu, Jianbo Gao, Jiashuo Zhang, Yue Li 0037, Qingshan Li, Zhi Guan, Zhong Chen 0001	DFHelper: Help clients to participate in federated learning tasks.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
14	Junqing Le, Di Zhang, Xinyu Lei, Long Jiao, Kai Zeng 0001, Xiaofeng Liao 0001	Privacy-Preserving Federated Learning With Malicious Clients and Honest-but-Curious Servers.	IEEE Trans. Inf. Forensics Secur.	2023	DBLP DOI BibTeX RDF
14	Theodoros Kapourniotis, Elham Kashefi, Dominik Leichtle, Luka Music, Harold Ollivier	Asymmetric Quantum Secure Multi-Party Computation With Weak Clients Against Dishonest Majority.	IACR Cryptol. ePrint Arch.	2023	DBLP BibTeX RDF
14	Guillermo Alonso Alvarez, Sergey Nadtochiy, Kevin Webster	Optimal Brokerage Contracts in Almgren-Chriss Model with Multiple Clients.	SIAM J. Financial Math.	2023	DBLP DOI BibTeX RDF
14	Yun-Han Chang, Chi-Wai Chow, Yuan-Zeng Lin, Yin-He Jian, Chih-Chun Wang, Yang Liu, Chien-Hung Yeh	Bi-Directional Free-Space Visible Light Communication Supporting Multiple Moveable Clients Using Light Diffusing Optical Fiber.	Sensors	2023	DBLP DOI BibTeX RDF
14	Long Zhang, Javier Ron, Benoit Baudry, Martin Monperrus	Chaos Engineering of Ethereum Blockchain Clients.	Distributed Ledger Technol. Res. Pract.	2023	DBLP DOI BibTeX RDF
14	Elaine E. G. Buis, Simone Ashby, Kristel K. P. A. Kouwenberg	Increasing the UX maturity level of clients: A study of best practices in an agile environment.	Inf. Softw. Technol.	2023	DBLP DOI BibTeX RDF
14	Michael Hennecke, Motohiko Matsuda, Masahiro Nakao	Evaluating DAOS Storage on ARM64 Clients.	HPC Asia Workshops	2023	DBLP DOI BibTeX RDF
14	Guan Qiang, Fang Fang 0005, Xianbin Wang 0001	Security and Efficiency Enhancement for Split Learning: A Machine Learning based Malicious Clients Detection Approach.	PIMRC	2023	DBLP DOI BibTeX RDF
14	Shinji Sakamoto, Admir Barolli, Yi Liu, Leonard Barolli, Makoto Takizawa 0001	Performance Evaluation of FC-RDVM Router Placement Method for WMNs Considering Normal, Uniform, Chi-square and Weibull Distributions of Mesh Clients.	NBiS	2023	DBLP DOI BibTeX RDF
14	Yiyin Zhang	SoK: Anonymity of Lightweight Clients in Cryptocurrency Systems.	ICBC	2023	DBLP DOI BibTeX RDF
14	Youxingzhu Deng, Yipeng Zhou, Gang Liu 0028, Jessie Hui Wang, Shui Yu 0001	Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients.	DSAA	2023	DBLP DOI BibTeX RDF
14	Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen 0001, Liang Zhao 0002, Carl Yang 0001	Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.	ICDE	2023	DBLP DOI BibTeX RDF
14	Pubudu L. Indrasiri, Dinh C. Nguyen, Bipasha Kashyap, Pubudu N. Pathirana	Federated Learning with Provable Security Against Malicious Clients in IoT Networks.	VCC	2023	DBLP DOI BibTeX RDF
14	Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai	Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories.	ICMLA	2023	DBLP DOI BibTeX RDF
14	Siddharth Dhama, Nadeem Akhtar, Preyas Hathi, Samar Agnihotri	Downlink SNR Estimation of Wi-Fi Clients using Machine Learning.	COMSNETS	2023	DBLP DOI BibTeX RDF
14	Kaibin Wang, Qiang He 0001, Feifei Chen 0001, Chunyang Chen, Faliang Huang, Hai Jin 0001, Yun Yang 0001	FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures.	WWW	2023	DBLP DOI BibTeX RDF
14	Victoria Huang 0001, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi	Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients.	CLOUD	2023	DBLP DOI BibTeX RDF
14	Shu Hong, Lingjie Duan	Regulating Clients' Noise Adding in Federated Learning Without Verification.	ICC	2023	DBLP DOI BibTeX RDF
14	Ahmed M. Abdelmoniem, Yomna M. Abdelmoniem, Ahmed Elzanaty	A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data.	ICC	2023	DBLP DOI BibTeX RDF
14	Murat Arda Onsu, Burak Kantarci, Azzedine Boukerche	On the Impact of Malicious and Cooperative Clients on Validation Score-Based Model Aggregation for Federated Learning.	ICC	2023	DBLP DOI BibTeX RDF
14	Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani	Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning.	IWCMC	2023	DBLP DOI BibTeX RDF
14	Jiaqi Wang 0002, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.	SDM	2023	DBLP DOI BibTeX RDF
14	Fujiang Sun, Jingling Shu	Analysis of the Asymmetric Game Between Lawyers and Clients.	ISCID	2023	DBLP DOI BibTeX RDF
14	Ran Zhu, Mingkun Yang, Jie Yang 0028, Qing Wang 0007	FedNaWi: Selecting the Befitting Clients for Robust Federated Learning in IoT Applications.	SECON	2023	DBLP DOI BibTeX RDF
14	Artur Balanuta, António Grilo 0001, Bob Iannucci, Anthony Rowe 0001	Improving LP-WAN performance in Dense Environments with Practical Directional Clients.	SECON	2023	DBLP DOI BibTeX RDF
14	Paul Schmiedmayer, Andreas Bauer, Bernd Bruegge	Reducing the Impact of Breaking Changes to Web Service Clients During Web API Evolution.	MOBILESoft	2023	DBLP DOI BibTeX RDF
14	Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das 0001	FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training.	GLOBECOM	2023	DBLP DOI BibTeX RDF
14	Keisuke Yoshimura, Ryohei Banno	A Method of Distributing Clients to MQTT Brokers Using Server Redirection.	TENCON	2023	DBLP DOI BibTeX RDF
14	Saki Takano, Akihiro Nakao, Saneyasu Yamaguchi, Masato Oguchi	Secure Feedback to Edge Servers in Distributed Machine Learning Using Rich Clients.	COMPSAC	2023	DBLP DOI BibTeX RDF
14	Siddharth Das, McKenzie van der Hagen, Swarali Patil, Cagri Erbagci, Brandon Lucia, Ken Mai	A 10.33 μJ/encryption Homomorphic Encryption Engine in 28nm CMOS with 4096-degree 109-bit Polynomials for Resource-Constrained IoT Clients.	ESSCIRC	2023	DBLP DOI BibTeX RDF
14	Pedro Neves, Pedro Fernandes, Inês Nunes, Micaela Fonseca, Phil Lopes	Early Playtesting with Clients and Therapists of More Game-Like Therapy.	CoG	2023	DBLP DOI BibTeX RDF
14	Simon Krogmann, Pascal Lenzner, Alexander Skopalik	Strategic Facility Location with Clients That Minimize Total Waiting Time.	AAAI	2023	DBLP DOI BibTeX RDF
14	Yong Lin, Chengyao Wu, Astin Lin, Sara Koeth, Nico Kaszynski, Tariq Zaman, Charles Noah Lin, Ming Chen	Thin Clients: Empowering Low-Income Family Students with Educational Tools from Revitalized Discarded Computers in Humanitarian Non-Profits.	GHTC	2023	DBLP DOI BibTeX RDF
14	Jinglong Shen, Nan Cheng, Zhisheng Yin, Yuchuan Fu, Wenchao Xu 0001, Song Guo 0001	RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients.	ICCC	2023	DBLP DOI BibTeX RDF
14	Chenrui Wu, Zexi Li 0001, Fangxin Wang 0001, Chao Wu	Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients.	ICME	2023	DBLP DOI BibTeX RDF
14	Frank Bart ter Haar, Sylvie Dijkstra-Soudarissanane, Piotr Zuraniewski, Rick Hindriks, Karim El Assal, Simon Gunkel, Galit Rahim, Omar Niamut	Remote Expert Assistance System for Mixed-HMD Clients over 5G Infrastructure.	MMSys	2023	DBLP DOI BibTeX RDF
14	Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini, Vidhi Mittal	PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients.	CCGrid	2023	DBLP DOI BibTeX RDF
14	Paul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam 0001, Ebelechukwu Nwafor, Habeeb Olufowobi	FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing.	EDGE	2023	DBLP DOI BibTeX RDF
14	Fatih Ilhan, Gong Su, Ling Liu 0001	ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients.	CVPR	2023	DBLP DOI BibTeX RDF
14	Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen	How to Prevent the Poor Performance Clients for Personalized Federated Learning?	CVPR	2023	DBLP DOI BibTeX RDF
14	Sahil Gupta, Devashish Gosain, Minseok Kwon, Hrishikesh B. Acharya	Predictable Internet Clients and In-Switch Deep Packet Inspection.	ICCCN	2023	DBLP DOI BibTeX RDF
14	Leonard Barolli, Shinji Sakamoto, Admir Barolli, Evjola Spaho	Implementation of FC-RDVM in WMN-PSOHCDGA System Considering Two Islands Distribution of Mesh Clients: A Comparison Study of FC-RDVM and RDVM Methods for Small Scale and Middle Scale WMNs.	IMIS	2023	DBLP DOI BibTeX RDF
14	Peng Xi, Wenjuan Tang, Kun Xie, Xuan Liu, Peng Zhao, Shaoliang Peng	RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning.	BIBM	2023	DBLP DOI BibTeX RDF
14	Lylia Abrouk, Hamza Chergui, Hamid Ahaggach, Benjamin Auger, Dominique Cheron	OntoFiC : une ontologie pour la détection de fraude financière et la modélisation des comportements des clients.	INFORSID	2023	DBLP BibTeX RDF
14	Admir Barolli, Shinji Sakamoto, Elis Kulla, Leonard Barolli, Makoto Takizawa 0001	Performance Evaluation of FC-RDVM and LDIWM Router Placement Methods for WMNs by WMN-PSODGA Hybrid Simulation System Considering Load Balancing and Chi-Square Distribution of Mesh Clients.	AINA (2)	2023	DBLP DOI BibTeX RDF
14	Admir Barolli, Kevin Bylykbashi, Leonard Barolli, Ermioni Qafzezi, Shinji Sakamoto, Makoto Takizawa 0001	A Comparison Study of LDVM and RDVM Router Replacement Methods by WMN-PSODGA Hybrid Simulation System Considering Two Islands Distribution of Mesh Clients.	EIDWT	2023	DBLP DOI BibTeX RDF
14	Shinji Sakamoto, Admir Barolli, Yi Liu 0011, Elis Kulla, Leonard Barolli, Makoto Takizawa 0001	A Comparison Study of FC-RDVM and LDVM Router Placement Methods for WMNs Considering Uniform Distribution of Mesh Clients and Different Instances.	EIDWT	2023	DBLP DOI BibTeX RDF
14	Liliana Simões Ribeiro, Melissa Paço Farinha	Portuguese Digital Agencies and Their Clients' Social Networks.	ICDEc	2023	DBLP DOI BibTeX RDF
14	Mahmoud AlJamal, Ala Mughaid, Rabee Alqura'n, Muder Almiani, Shadi AlZu'bi	Simulated Model for Preventing IoT Fake Clients over the Smart Cities Environment.	DASC/PiCom/CBDCom/CyberSciTech	2023	DBLP DOI BibTeX RDF
14	Leonard Barolli, Admir Barolli, Shinji Sakamoto, Evjola Spaho	Assessment of Four Mesh Router Replacement Methods for Small and Middle Scale Wireless Mesh Networks Considering Two Islands Distribution of Mesh Clients.	INCoS	2023	DBLP DOI BibTeX RDF
14	Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon	DepthFL : Depthwise Federated Learning for Heterogeneous Clients.	ICLR	2023	DBLP BibTeX RDF
14	Xiaolin Hu, Shaojie Li, Yong Liu 0018	Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses.	ICLR	2023	DBLP BibTeX RDF
14	Andrew Zamecnik, Srecko Joksimovic, Vitomir Kovanovic, Georg Grossmann, Djazia Ladjal, Abelardo Pardo	Exploring the Feedback Provision of Mentors and Clients for Teams in Work-Integrated Learning Environments.	LAK	2023	DBLP DOI BibTeX RDF
14	Stan Kurkovsky	Student Reflections on Service-Learning in Software Engineering and Their Experiences with Non-technical Clients.	CompEd (1)	2023	DBLP DOI BibTeX RDF
14	Weihong Wang	Towards a User-Centric Decentralized Web: Lightweight Clients as First-class Blockchain Citizens.	Middleware Demos/Posters/Doctoral Symposium	2023	DBLP DOI BibTeX RDF
14	Weikuan Wang, Tao Shen 0001, Michael Blumenstein, Guodong Long	Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation.	ADMA (5)	2023	DBLP DOI BibTeX RDF
14	Hyun Woo Lim, Sean Yonathan Tanjung, Ignatius Iwan, Bernardo Nugroho Yahya, Seok-Lyong Lee	Fed-SIc: Selecting Important Clients for Federated Learning.	SIU	2023	DBLP DOI BibTeX RDF
14	Amir Sharif, Roberto Carbone, Giada Sciarretta, Silvio Ranise	Best current practices for OAuth/OIDC Native Apps: A study of their adoption in popular providers and top-ranked Android clients.	J. Inf. Secur. Appl.	2022	DBLP DOI BibTeX RDF
14	Ziyu Niu, Zhi Li, Hao Wang 0007	Server-aided multiparty private set intersection protocols for lightweight clients and the application in intelligent logistics.	Int. J. Intell. Syst.	2022	DBLP DOI BibTeX RDF
14	Tiansheng Huang, Weiwei Lin 0001, Li Shen 0008, Keqin Li 0001, Albert Y. Zomaya	Stochastic Client Selection for Federated Learning With Volatile Clients.	IEEE Internet Things J.	2022	DBLP DOI BibTeX RDF
14	Abhinav Kumar 0003, Vishal Purohit, Vandana Bharti, Rishav Singh, Sanjay Kumar Singh	MediSecFed: Private and Secure Medical Image Classification in the Presence of Malicious Clients.	IEEE Trans. Ind. Informatics	2022	DBLP DOI BibTeX RDF
14	Admir Barolli, Kevin Bylykbashi, Ermioni Qafzezi, Shinji Sakamoto, Leonard Barolli	Performance Evaluation of Chi-Square and Normal Distributions of Mesh Clients for WMNs Considering Five Router Replacement Methods.	Int. J. Distributed Syst. Technol.	2022	DBLP DOI BibTeX RDF
14	Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu 0003	Toward intelligent financial advisors for identifying potential clients: A multitask perspective.	Big Data Min. Anal.	2022	DBLP BibTeX RDF
14	Konstantinos D. Stergiou, Konstantinos E. Psannis	Federated Learning Approach Decouples Clients From Training a Local Model and With the Communication With the Server.	IEEE Trans. Netw. Serv. Manag.	2022	DBLP DOI BibTeX RDF
14	Guowen Xu, Xingshuo Han, Tianwei Zhang 0004, Hongwei Li 0001, Robert H. Deng	SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu 0001, Qi Dou 0001, Masashi Sugiyama	Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Amna Arouj, Ahmed M. Abdelmoniem	Towards Energy-Aware Federated Learning on Battery-Powered Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Dongfang Zhao 0001	Secure Aggregation of Semi-Honest Clients and Servers in Federated Learning with Secret-Shared Homomorphism.	CoRR	2022	DBLP DOI BibTeX RDF
14	Yikai Yan, Chaoyue Niu, Fan Wu 0006, Qinya Li, Shaojie Tang 0001, Chengfei Lyu, Guihai Chen	One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design.	CoRR	2022	DBLP DOI BibTeX RDF
14	Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee	Federated Best Arm Identification with Heterogeneous Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jaemin Shin 0005, Yuanchun Li, Yunxin Liu, Sung-Ju Lee	Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients.	CoRR	2022	DBLP BibTeX RDF
14	Caiqin Dong, Jian Weng 0001, Yao Tong, Jia-Nan Liu, Anjia Yang, Yudan Cheng, Shun Hu	Fusion: Efficient and Secure Inference Resilient to Malicious Server and Curious Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Yalin E. Sagduyu	Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks.	CoRR	2022	DBLP DOI BibTeX RDF
14	Simon Krogmann, Pascal Lenzner, Alexander Skopalik	Strategic Facility Location with Clients that Minimize Total Waiting Time.	CoRR	2022	DBLP DOI BibTeX RDF
14	Chih-Fan Hsu, Ming-Ching Chang, Wei-Chao Chen	FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Ashish Gupta 0012, Tie Luo, Mao V. Ngo, Sajal K. Das 0001	Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Judith Sáinz-Pardo Díaz, Álvaro López García	Study of the performance and scalability of federated learning for medical imaging with intermittent clients.	CoRR	2022	DBLP DOI BibTeX RDF
14	Tribhi Kathuria, Yifan Xu, Theodor Chakhachiro, X. Jessie Yang, Maani Ghaffari	Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction.	CoRR	2022	DBLP DOI BibTeX RDF