Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

ImAge: an imaging approach to quantitate aging and rejuvenation

Kavli Affiliate: Tatyana Sharpee | Authors: Martin Alvarez-Kuglen, Delany Rodriguez, Haodong Qin, Kenta Ninomiya, Lorenzo Fiengo, Chen Farhy, Aaron Havas, Wei-Mien Hsu, Gen-Sheng Feng, Amanda Roberts, Rozalyn M Anderson, Manuel Serrano, Peter D Adams, Tatyana O Sharpee and Alexey Terskikh | Summary: Biomarkers of biological age that predict the risk of disease and expected lifespan […]


Continue.. ImAge: an imaging approach to quantitate aging and rejuvenation

MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface

Kavli Affiliate: Terrence Sejnowski | Authors: Adam Husar, Mariam Ordyan, Guadalupe C Garcia, Joel G Yancey, Ali S Saglam, James Faeder, Thomas M Bartol, Jr., Mary B Kennedy and Terrence J Sejnowski | Summary: Biochemical signaling pathways in living cells are often highly organized into spatially segregated volumes, membranes, scaffolds, subcellular compartments, and organelles comprising […]


Continue.. MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface

Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training

Kavli Affiliate: Marina Picciotto | Authors: Zuhair I Abdulla, Yann S Mineur, Richard B Crouse, Ian M Etherington, Hanna Yousuf, Jessica J Na and Marina R Picciotto | Summary: Increased brain levels of acetylcholine (ACh) are observed in subsets of patients with depression and increasing ACh levels chronically can precipitate stress-related behaviors in humans and […]


Continue.. Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training

Perisaccadic and Attentional Remapping of Receptive Fields in Lateral Intraparietal Area and Frontal Eye Fields

Kavli Affiliate: Michael Goldberg | Authors: Xiao Wang, Cong Zhang, Lin Yang, Min Jin, Michael E Goldberg, Mingsha Zhang and Ning Qian | Summary: The nature and function of perisaccadic receptive-field (RF) remapping have been controversial. We used a delayed saccade task to reduce previous confounds and examined the remapping time course in areas LIP […]


Continue.. Perisaccadic and Attentional Remapping of Receptive Fields in Lateral Intraparietal Area and Frontal Eye Fields

Automatic monitoring of whole-body neural activity in behaving Hydra

Kavli Affiliate: Rafael Yuste | Authors: Alison Hanson, Raphael Reme, Noah Telerman, Wataru Yamamoto, Jean-Christophe Olivo-Marin, Thibault Lagache and Rafael Yuste | Summary: The ability to record every spike from every neuron in a behaving animal is one of the holy grails of neuroscience. Here, we report coming one step closer towards this goal with […]


Continue.. Automatic monitoring of whole-body neural activity in behaving Hydra

Predicting Long and Short Duration Beta Bursts from Subthalamic Nucleus Local Field Potential Activity in Parkinson’s Disease

Kavli Affiliate: Philip Starr | Authors: Bahman Abdi-Sargezeh, Sepehr Shirani, Abhinav Sharma, Philip Starr, Simon Little and Ashwini Oswal | Summary: Neural activities within the beta frequency range (13-30 Hz) are not stationary, but occur in transient packets known as beta bursts. Parkinson’s disease (PD) is characterized by the occurrence of beta bursts of increased […]


Continue.. Predicting Long and Short Duration Beta Bursts from Subthalamic Nucleus Local Field Potential Activity in Parkinson’s Disease

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Hanyun Yin, Heng Huang, Wei Gao, | Summary: Fine-tuning is the most effective way of adapting pre-trained large language models (LLMs) to downstream applications. With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but […]


Continue.. Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Hanyun Yin, Heng Huang, Wei Gao, | Summary: Fine-tuning is the most effective way of adapting pre-trained large language models (LLMs) to downstream applications. With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but […]


Continue.. Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation