Logarithmically Quantized Distributed Optimization Over Dynamic Multi-Agent Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3487796
Abstract: Distributed optimization finds many applications in machine learning, signal processing, and control systems. In these real-world applications, the constraints of communication networks, particularly limited bandwidth, necessitate implementing quantization techniques. In this letter, we propose distributed… read more here.
Keywords: logarithmically quantized; multi agent; quantized distributed; agent networks ... See more keywords
Quantized Distributed Estimation With Adaptive Combiner
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2022.3156425
Abstract: Distributed estimation over networks has attracted great attention for its wide applicability in source tracking, environmental monitoring, etc. In the problem of distributed estimation, a set of nodes collectively estimates some parameter from noisy measurements.… read more here.
Keywords: information; quantized distributed; distributed estimation; adaptive combiner ... See more keywords
Quantized and Distributed Subgradient Optimization Method With Malicious Attack
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.48550/arxiv.2206.02272
Abstract: This letter considers a distributed optimization problem in a multi-agent system where a fraction of the agents act in an adversarial manner. Specifically, the malicious agents steer the network of agents away from the optimal… read more here.
Keywords: malicious agents; distributed subgradient; quantized distributed; optimization method ... See more keywords