{"id":8643,"date":"2022-04-13T10:23:21","date_gmt":"2022-04-13T10:23:21","guid":{"rendered":"https:\/\/www.digitalfutures.kth.se\/?page_id=8643"},"modified":"2023-06-10T10:55:41","modified_gmt":"2023-06-10T08:55:41","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/collaborative-projects\/on-going-collaborative-projects\/democritus\/publications-2\/","title":{"rendered":"Publications"},"content":{"rendered":"

We like to inspire and share interesting knowledge!<\/strong><\/p>\n

Water distribution networks<\/strong><\/p>\n

DP Souza, R Du, B da Silva Jr, J Mairton, CC Cavalcante, C Fischione, Leakage Detection In Water Distribution Networks: Efficient Training By Data Clustering, IWA World Water Congress & Exhibition 2022.<\/p>\n

DP Sousa, R Du, J Mairton Barros da Silva Jr, CC Cavalcante, C. Fischione, \u201cLeakage detection in water distribution networks using machine-learning strategies\u201d, Water Supply 23 (3), 1115-1126, 2023.<\/p>\n

L. Lindstro\u0308m, S. Gracy, S. Magnu\u0301sson and H. Sandberg, \u201cLeakage Localization in Water Distribution Networks: A Model-Based Approach\u201d, European Control Conference, 2022.<\/p>\n

M. Mascherpa, I. Haasler, B. Ahlgren, J. Karlsson: \u201cEstimating pollution spread in water networks as a Schr\u00f6dinger bridge problem with partial information.\u201d Accepted for publication in European Journal of Control.<\/p>\n

 <\/p>\n

Cyber-physical systems<\/strong><\/p>\n

M, Zhang, Q. Xu, S Magnu\u0301sson, R. Pilawa-Podgurski and G. Guo, \u201cMulti-Agent Deep Reinforcement Learning for Decentralized Voltage-Var Control in Distribution Power System\u201d, IEEE Energy Conversion Congress and Exposition, 2022.<\/p>\n

D Weinberg, Q Wang, TO Timoudas, C Fischione, \u201cA review of reinforcement learning for controlling Building Energy Systems from a computer science perspective\u201d, Sustainable Cities and Society, 104351,3, 2022.<\/p>\n

Bengt Ahlgren. Simulator Framework for Developing Decision-Making Methods for Critical Infrastructure. In 18th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2023), Kristianstad University, Kristianstad, June 14-15, 2023.<\/p>\n

 <\/p>\n

Large-scale and distributed learning and optimization<\/strong><\/p>\n

A. Alanwar, A. Berndt, K.H. Johansson and H. Sandberg, \u201cData-Driven Set-Based Estimation Using Matrix Zonotopes with Set Containment Guarantees\u201d, European Control Conference, 2022.<\/p>\n

X. Wu, S. Magnu\u0301sson, H. Reza Feyzmahdavian, M. Johansson, \u201cOptimal convergence rates of totally asynchronous optimization\u201d, IEEE Conference on Decision and Control (CDC), 2022.<\/p>\n

X. Wu, S. Magnu\u0301sson, H. Reza Feyzmahdavian, and M. Johansson, \u201cDelay-adaptive step-sizes for asynchronous learning\u201d International Conference on Machine Learning (ICML), 2022.<\/p>\n

TO Timoudas, S Zhang, S Magn\u00fasson, C Fischione, \u201dA General Framework to Distribute Iterative Algorithms with Localized Information over Networks\u201d, IEEE Transactions on Automatic Control, 2023.<\/p>\n

S. Vaishnav and S. Magn\u00fasson, \u201cEnergy-Efficient and Adaptive Gradient Sparsification for Federated Learning\u201d 2023 IEEE International Conference on Communications (ICC), Rome, Italy, 2023.<\/p>\n

S. Vaishnav and S. Magn\u00fasson, \u201cIntelligent Processing of Data Streams on the Edge Using Reinforcement Learning\u201d 2023 IEEE International Conference on Communications Workshops (ICC), Rome, Italy, 2023<\/p>\n

I. Haasler, A. Ringh, Y. Chen, J. Karlsson, \u201cMulti-marginal optimal transport with a tree-structured cost and the Schroedinger bridge problem,\u201d SIAM Journal on Control and Optimization, 59(4), 2428-2453, 2021.<\/p>\n

I. Haasler, J. Karlsson, and A. Ringh, \u201cControl and estimation of ensembles via structured optimal transport, A computational approach based on entropy-regularized multi-marginal optimal transport,\u201d IEEE Control Systems Magazine 41 (4), 50-69, 2021.<\/p>\n

I. Haasler, A. Ringh, Y. Chen, and J. Karlsson, \u201cEfficient computations of multi-species mean field games via graph-structured optimal transport,\u201d IEEE Conference on Decision and Control, 2021.<\/p>\n

J. Fan, I. Haasler, J. Karlsson, and Y. Chen, \u201cOn the complexity of the optimal transport problem with graph-structured cost,\u201d AISTATS, 2022.<\/p>\n

I. Haasler, A. Ringh, Y. Chen, J. Karlsson, \u201cScalable computation of dynamic flow problems via multi-marginal graph-structured optimal transport\u201d Accepted for publication in Mathematics of Operations Research.<\/p>\n

 <\/p>\n

Networking for\/with machine learning<\/strong><\/p>\n

H. Hellstro\u0308m, V. Fodor and C. Fischione, \u201cOver-the-Air Federated Learning with Retransmissions,\u201d IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021.<\/p>\n

H. Hellstro\u0308m, V. Fodor, C. Fischione, \u201cUnbiased Over-the-Air Computation via Retransmissions,\u201d IEEE , Global Communications Conference (GLOBECOM), 2022.<\/p>\n

S Razavikia, JA Peris, JMB Da Silva, C Fischione, \u201cBlind Asynchronous Over-the-Air Federated Edge Learning\u201d, 2022 IEEE Globecom Workshops (GC Wkshps), 1834-1839, 2, 2022.<\/p>\n

H Hellstr\u00f6m, JMB da Silva Jr, MM Amiri, M Chen, V Fodor, HV Poor, C. Fischione, \u201cWireless for machine learning: A survey\u201d, Foundations and Trends\u00ae in Signal Processing 15 (4), 290-39916, 2022.<\/p>\n

P Park, P Di Marco, C Fischione, Optimized over-the-air computation for wireless control systems, IEEE Communications Letters 26 (2), 2022.<\/p>\n

Z Chen, EG Larsson, C Fischione, M Johansson, Y Malitsky, Over-the-Air Computation for Distributed Systems: Something Old and Something New, IEEE Networking Magazine, 2023.<\/p>\n

H Hellstr\u00f6m, V Fodor, C Fischione, \u201cFederated Learning Over-the-Air by Retransmissions\u201d, IEEE Transactions on Wireless Communications, 2023.<\/p>\n

S Razavikia, JMB Silva Jr, C Fischione, \u201cComputing Functions Over-the-Air Using Digital Modulations\u201d, IEEE ICC 2023.<\/p>\n

Y Kim, E Al Hakim, J Haraldson, H Eriksson, JMB da Silva, C Fischione, Dynamic clustering in federated learning, ICC 2021-IEEE International Conference on Communications, 1-610, 2021.<\/p>\n

R Du, S Magnusson, C Fischione, The Internet of Things as a deep neural network, IEEE Communications Magazine 58 (9), 20-2511, 2020.<\/p>\n

R Du, S Magnu\u0301sson, C Fischione, The IoT as a Deep Neural Network, IEEE Communications Magazine, 2, 2020.<\/p>\n

A Mahmoudi, HS Ghadikolaei, C Fischione, Cost-efficient distributed optimization in machine learning over wireless networks, ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-77, 2020.<\/p>\n

A Mahmoudi, HS Ghadikolaei, C Fischione, Machine learning over networks: co-design of distributed optimization and communications, 2020 IEEE 21st International Workshop on Signal Processing Advances in Communications.<\/p>\n

X. Wang, F. S. Samani, and R. Stadler, \u201cOnline feature selection for rapid, low-overhead learning in networked systems,\u201d 16th International Conference on Network and Service Management (CNSM 2020). IEEE, 2020.<\/p>\n

R. S. Villaca and R. Stadler, \u201cOnline learning under resources constraints,\u201d in 2021 17th IFIP\/IEEE Symposium on Integrated Network and Service Management (IM 2021). IEEE, 2021.<\/p>\n

X. Wang, FS. Samani, A. Johnsson,R. Stadler, \u201cOnline Feature Selection for Low-overhead Learning in Networked Systems (Demonstration),\u201d In 2021 17th International Conference on Network and Service Management (CNSM) 2021 Oct 25 (pp. 527-529). IEEE, 2021.<\/p>\n

X. Wang, R. Stadler, \u201cOnline Feature Selection for Efficient Learning in Networked System,\u201d IEEE Transactions on Network and Service Management. 2022 Jun 8.<\/p>\n

 <\/p>\n

Network protocol design<\/strong><\/p>\n

P Park, P Di Marco, C Fischione, Wireless for control: Over-the-air controller, IEEE Communications Letters 25 (10), 3437-34411, 2021.<\/p>\n

TO Timoudas, R Du, C Fischione, Enabling massive IoT in ambient backscatter communication systems, ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-64 2020.<\/p>\n

R Du, TO Timoudas, C Fischione, Comparing backscatter communication and energy harvesting in massive IoT networks, IEEE Transactions on Wireless Communications 21 (1), 429-4431, 2021.<\/p>\n

P Park, HS Ghadikolaei, C Fischione, Proactive fault-tolerant wireless mesh networks for mission-critical control systems, Journal of Network and Computer Applications 186, 1030824, 2021.<\/p>\n

M. Zeng, V. Fodor, Energy minimization for delay constrained mobile edge computing with orthogonal and non-orthogonal multiple access, Ad Hoc Networks, Vol. 98, 2020.<\/p>\n

M. Zeng and V. Fodor, \u201cParallel Processing at the Edge in Dense Wireless Networks,\u201d in IEEE Open Journal of the Communications Society, vol. 3, 2022.<\/p>\n

J. A. Peris and V. Fodor, \u201cModelling multi-cell edge video analytics,\u201d ICC 2022 \u2013 IEEE International Conference on Communications, 2022.<\/p>\n

J. A. Peris and V. Fodor, \u201cDistributed Join-the-Shortest-Queue with Sparse and Unreliable Information Updates,\u201d ICC 2022 \u2013 IEEE International Conference on Communications, 2022.<\/p>\n

B. Ahlgren, and K-J Grinnemo, \u201cZQTRTT: a multipath scheduler for heterogeneous traffic in ICNs based on zero queueing time ratio\u201d, In Proceedings of the 9th ACM Conference on Information-Centric Networking (ICN \u201922), 2022.<\/p>\n","protected":false},"excerpt":{"rendered":"

We like to inspire and share interesting knowledge\u2026<\/p>\n","protected":false},"author":46,"featured_media":0,"parent":380,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8643","page","type-page","status-publish","hentry"],"yoast_head":"\nPublications — Digital Futures<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publications — Digital Futures\" \/>\n<meta property=\"og:description\" content=\"We like to inspire and share interesting knowledge\u2026\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/collaborative-projects\/on-going-collaborative-projects\/democritus\/publications-2\/\" \/>\n<meta property=\"og:site_name\" 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