Patents/Inventors

Eren Balevi

Brooklyn, NYUS20 patents

21 Patents

US124459792025
Power Control in Over the Air Aggregation for Federated Learning
QUALCOMM Incorporated
0 cites
US124326752025
Signal Synchronization for Over-the-air Aggregation in a Federated Learning Framework
QUALCOMM Incorporated
0 cites
US124014362025
Gradient Dropping for Federated Learning
QUALCOMM Incorporated
0 cites
US123556332025
Configuring a User Equipment for Machine Learning
QUALCOMM Incorporated
0 cites
US123350352025
Autoencoder-based Error Correction Coding for Low-resolution Communication
Board Of Regents, The University Of Texas System
0 cites
US122617922025
Group-common Reference Signal for Over-the-air Aggregation in Federated Learning
QUALCOMM Incorporated
0 cites
US122557142025
Techniques for Encoding and Decoding a Channel Between Wireless Communication Devices
QUALCOMM Incorporated
0 cites
US121753462024
Method and Apparatus for Fetching Gradient Data for Federated Learning Process
QUALCOMM Incorporated
0 cites
US121432992024
Upper Analog Media Access Control (MAC-A) Layer Functions for Analog Transmission Protocol Stack
QUALCOMM Incorporated
0 cites
US121264672024
Low Resolution OFDM Receivers via Deep Learning
Board Of Regents, The University Of Texas System
0 cites
US121270142024
Protocol Stack for Analog Communication in Split Architecture Network for Machine Learning (ML) Functions
QUALCOMM Incorporated
0 cites
US120892912024
Machine Learning Model Configuration in Wireless Networks
0 cites
US120415342024
Network Measurements for Enhanced Machine Learning Model Training and Inference
QUALCOMM Incorporated
0 cites
US120352562024
Power Control in Over the Air Aggregation for Federated Learning
QUALCOMM Incorporated
0 cites
US120352862024
Gradient Accumulation for Federated Learning
QUALCOMM Incorporated
0 cites
US119976932024
Lower Analog Media Access Control (MAC-A) Layer and Physical Layer (PHY-A) Functions for Analog Transmission Protocol Stack
QUALCOMM Incorporated
0 cites
US119567852024
User Equipment Participation Indications Associated with Federated Learning
QUALCOMM Incorporated
0 cites
US119167542024
Configuring a User Equipment for Machine Learning
QUALCOMM Incorporated
0 cites
US118255532023
UE Capability for AI/ML
QUALCOMM Incorporated
0 cites
US118188062023
ML Model Training Procedure
QUALCOMM Incorporated
0 cites
US115755442023
Low Resolution OFDM Receivers via Deep Learning
Board Of Regents, The University Of Texas System
0 cites