Distributed and federated learning algorithms and techniques associated
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Domain adaptive object detection (DAOD) assumes that both labeled source...
Domain adaptive object detection (DAOD) aims to adapt the detector from ...
Consider robot swarm wireless networks where mobile robots offload their...
In this paper, a convolution sparse coding method based on global struct...
This paper studies the uniform convergence and generalization bounds for...
Segmenting unseen objects is a crucial ability for the robot since it ma...
Task offloading to mobile edge computing (MEC) has emerged as a key
tech...
This paper studies the complexity for finding approximate stationary poi...
Conditional Stochastic Optimization (CSO) covers a variety of applicatio...