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FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning [article]

Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh
2022 arXiv   pre-print
Federated learning (FL) aims to minimize the communication complexity of training a model over heterogeneous data distributed across many clients.  ...  However, in existing analyses, this comes at the cost of slow convergence in terms of the dependence on the number of communication rounds R.  ...  as a part of NSF Institute for Foundations of Machine Learning (IFML), and CNS-2112471 as a part of NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE).  ... 
arXiv:2108.06869v3 fatcat:yf3ayspczneozguuhywbinkggy

Big Data Analytics for Cyber Security

Pelin Angin, Bharat Bhargava, Rohit Ranchal
2019 Security and Communication Networks  
under the same role using multiview community detection methods.  ...  Crowdsourcing can be an effective way to quickly obtain a large labeled dataset at low cost, but the crowd annotations may be of lower quality than those of experts.  ... 
doi:10.1155/2019/4109836 fatcat:67lzxtvobjdendowq4dehvgp2y

FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems [article]

Van-Dinh Nguyen, Symeon Chatzinotas, Bjorn Ottersten, Trung Q. Duong
2022 arXiv   pre-print
We also show that the proposed co-design of FL and communication is essential to substantially improve resource utilization while achieving comparable accuracy of the learning model.  ...  Federated learning (FL) is capable of performing large distributed machine learning tasks across multiple edge users by periodically aggregating trained local parameters.  ...  By taking into account both the computational and communication costs, it was shown in [30] that the network-aware optimization greatly reduces the cost of model training.  ... 
arXiv:2107.02755v3 fatcat:jmi2fxpdsncbhlv3pdkub5ljfu

Stages of e-government interoperability

Petter Gottschalk, Hans Solli Saether
2008 Electronic Government, an International Journal  
In this paper, stages of e-government interoperability is identified and discussed.  ...  Improved interoperability between public organisations as well as between public and private organisations is of critical importance to make electronic government more successful.  ...  Acknowledgements This research was part of the Semicolon Project supported by the Norwegian Research Council, Contract No. 183260.  ... 
doi:10.1504/eg.2008.018877 fatcat:dlfw6hdqdzggrhtinp5o54szd4

Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing

A. S. Gowri, P.Shanthi Bala, Immanuel Zion
2021 International Journal of Advanced Computer Science and Applications  
While RL meets the time-critical requirements of IoT with high scalability, EEC empowers RASP by saving cost and energy.  ...  The survey recommends techniques like Reinforcement Learning (RL) and Energy Efficient Computing (EEC) in Fog and Cloud to escalate the efficacy of RASP.  ...  The agent is trained to take optimal action through either of the RL algorithms like Q-learning, SARSA, E-SARSA, or Deep RL.  ... 
doi:10.14569/ijacsa.2021.0120308 fatcat:mmftlutfa5dstphhsaxfvvu6ti

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
2019 Proceedings of the IEEE  
However, research on EI is still in its infancy stage, and a dedicated venue for exchanging the recent advances of EI is highly desired by both the computer system and AI communities.  ...  We then provide an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning model toward training/inference at the network edge.  ...  The main challenges of federated learning are optimization and communication.  ... 
doi:10.1109/jproc.2019.2918951 fatcat:d53vxmklgfazbmzjhsq3tuoama

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning [article]

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti (+3 others)
2021 arXiv   pre-print
We end by describing the vision and challenges of IoFT in reshaping different industries through the lens of domain experts.  ...  The Internet of Things (IoT) is on the verge of a major paradigm shift.  ...  While a higher the (strongly)-convex case with i.i.d data, FedAvg converges number of local updates E reduces the communication cost, to a global solution with optimal complexity order.  ... 
arXiv:2111.05326v1 fatcat:bbgdhtuqcrhstgakt2vxuve2ca

A Survey of Coded Distributed Computing [article]

Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao
2020 arXiv   pre-print
Then, we review and analyze a number of CDC approaches proposed to reduce the communication costs, mitigate the straggler effects, and guarantee privacy and security.  ...  Therefore, CDC may significantly reduce communication load, alleviate the effects of stragglers, provide fault-tolerance, privacy and security.  ...  In the design of optimal task scheduling and task selection algorithms, the communication load can be minimized through various approaches such as by optimizing the placement of computation tasks, distributing  ... 
arXiv:2008.09048v1 fatcat:riy4dxvuc5ae3krz7lf25zkg6m

Parallel embedded processor architecture for FPGA-based image processing using parallel software skeletons

Hanen Chenini, Jean Pierre Dérutin, Romuald Aufrère, Roland Chapuis
2013 EURASIP Journal on Advances in Signal Processing  
To take advantage of parallelization on homogeneous MPSoCs and to reduce the programming effort, the proposed design methodology offers more opportunities for accelerating the parallelization of sequential  ...  The design of homogeneous network of communicating processor is presented from the hardware and software specification down to synthesizable hardware description.  ...  Acknowledgements This work was funded by the French National Research Agency, the European Commission (Feder funds), Auvergne Region in the framework of the LabEx IMobS 3 and the European Project SEAMOVES  ... 
doi:10.1186/1687-6180-2013-153 fatcat:hx27il6bx5bsplgjffgqqj6xlu

Program

2020 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)  
The developed G&TEP model accounts for the investment and operation costs of generation units and transmission lines, as well as the load and wind curtailment costs, and determines the optimal installation  ...  The proposed framework reduces communication demand between the agents by leveraging a vehicle's historical records.  ...  This paper presents an optimization formulation for the sizing and scheduling of the BSS to minimize the monthly energy bill through minimization of DC.  ... 
doi:10.1109/ccece47787.2020.9255763 fatcat:mpf7smikpfc77bu73ciqstdagm

Vital Signs: Dental Sealant Use and Untreated Tooth Decay Among U.S. School-Aged Children

Susan O. Griffin, Liang Wei, Barbara F. Gooch, Katherine Weno, Lorena Espinoza
2016 Morbidity and Mortality Weekly Report (MMWR)  
Approximately 6.5 million low-income children could potentially benefit from the delivery of sealants through SBSP.  ...  Methods: CDC used data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 to estimate current prevalences of sealant use and untreated tooth decay among low-income (≤185% of federal  ...  The Community Preventive Services Task Force † (Task Force) recommends SBSP, on the basis of strong evidence that these programs prevent tooth decay and increase the number of children receiving sealants  ... 
doi:10.15585/mmwr.mm6541e1 pmid:27764075 fatcat:iibejreztrdb5jjqukxlp26edi

Editorial on Wireless Networking Technologies for Smart Cities

Jaime Lloret, Syed Hassan Ahmed, Danda B. Rawat, Waleed Ejaz, Wei Yu
2018 Wireless Communications and Mobile Computing  
Smart cities are becoming reality, due to the enormous research into the technology enablers and development of the Internet of Things (IoT) enabling a multitude of applications, which are built around  ...  of classified information to the decision makers.  ...  Acknowledgments We also would like to thank editorial staff, editor in chief, contributing authors, reviewers, and production staff for bringing our special issue to the level of success.  ... 
doi:10.1155/2018/1865908 fatcat:xcq4wnu6nrdtblnqnvh73laeoq

Technologies and building blocks for fast packet forwarding

W. Bux, W.E. Denzel, T. Engbersen, A. Herkersdorf, R.P. Luijten
2001 IEEE Communications Magazine  
We discuss the prerequisites of processing tens to hundreds of millions of packets per second and indicate ways to achieve scalability through parallel packet processing.  ...  We provide a review of the state of the art and the future of packet processing and switching.  ...  Special thanks go to Jan van Lunteren for his valuable input to the discussion of table lookup and classification issues.  ... 
doi:10.1109/35.894379 fatcat:sailcyxj2ffhznvmbaguiflvri

A Comprehensive Survey of 6G Wireless Communications [article]

Yang Zhao, Wenchao Zhai, Jun Zhao, Tinghao Zhang, Sumei Sun, Dusit Niyato, Kwok-Yan Lam
2021 arXiv   pre-print
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation (6G) communications have attracted much attention from both the industry and the academia.  ...  Because of these technologies, 6G is expected to outperform existing wireless communication systems regarding the transmission rate, latency, global coverage, etc.  ...  Since the UAV communication network is distributed and federated learning is an emerging distributed learning framework, some work combines federated learning with UAV communication networks [215, 216  ... 
arXiv:2101.03889v2 fatcat:35sfasu4bbgttg3cnsfzp62oda

Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review

Yuquan Meng, Yuhang Yang, Haseung Chung, Pil-Ho Lee, Chenhui Shao
2018 Sustainability  
With the rapid development of sensing, communication, computing technologies, and analytics techniques, today's manufacturing is marching towards a new generation of sustainability, digitalization, and  ...  of the two has not been fully exploited.  ...  [54] applied a multistage DBN-based extreme learning machine to credit risk assessment. Leng et al. [57] combined a deep learning method with granular computing to service planning. Zhao et al.  ... 
doi:10.3390/su10124779 fatcat:umeffqd46nbjtaoco4ageawv54
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