№ files_lp_4_process_3_128203
File format: docx Character count: 8896 File size: 48 KB
Year: 2026
Region / City: Goa, India
Subject: Energy-aware Federated Learning Training Process
Document Type: Technical Report
Organization: 3GPP
Author: Ericsson
Target Audience: Operators, AI/ML developers, Federated Learning participants
Approval Date: 09 February 2026
Agenda Item: 6.20.2
Spec: 3GPP TR 28.882
Version: 0.2.0
Work Item: FS_AIML_MGT_Ph3
Context Description: Technical report addressing a new use case for energy-aware Federated Learning (FL) in ML training, outlining changes in AI/ML sustainability and system requirements.
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Advanced Administering Environments with IBM Instana Observability
Year: 2026
Region / city: Global
Topic: IBM Instana, Observability, Host Agent Installation, Web Monitoring
Document Type: Course Description
Organization: IBM
Author: IBM Training
Target Audience: IT professionals, System administrators
Period of validity: Ongoing
Approval Date: N/A
Modification Date: N/A
The Observability Bias: A Crisis in Instructional Leadership
Year: 2023
Author: Justin Baeder
Institution: The Principal Center
Target Audience: Educational administrators, instructional leaders
Document Type: Article
Topic: Observability bias in teaching practice
Region/City: United States
Period of Application: Ongoing
Date of Approval: N/A
Date of Changes: N/A
Spark Real-Time Observability and Data Platform Monitoring at Nubank with Apache Pinot
Organization: Nubank
Author: Felipe
Position of author: Senior Analytics Engineer
Topic: Data platform observability and analytics infrastructure
Technologies mentioned: Apache Spark, Apache Pinot, Kafka
Document type: Conference presentation transcript
Industry: Financial technology
Scale of data platform: Over 100,000,000 customers and more than 300,000 datasets
Processing model: Daily batch ETL and distributed data processing
Key concepts: Spark observability, distributed processing metrics, data democratization, ETL monitoring
Infrastructure components: Spark jobs, internal data platform services, Kafka messaging, analytical database for metrics
Data volume: Petabytes of data processed daily
Purpose: Monitoring and analysis of Spark job execution metrics and ETL platform performance
Pseudo-CR on TR 28.882 add Management support use case and requirement for two-sided model training
Year: 2025
Region / City: Dallas, US
Topic: AI/ML Lifecycle Management, Model Training, Network Management
Document Type: Technical Report
Organization / Institution: 3GPP
Author: NEC, Huawei, Nokia, Samsung, Vivo
Target Audience: Technical professionals, engineers, and organizations working on AI/ML in telecom
Effective Period: November 2025
Approval Date: November 2025
Amendment Date: None
Pseudo-CR TR 28.882 Update Solution for Management of Vertical Federated Learning
Year: 2026
Location: Goa, India
Topic: Vertical Federated Learning management in 3GPP networks
Document type: Technical report contribution
Organization: 3GPP TSG SA5
Author: ZTE Corporation
Agenda item: 6.20.2
Specification: 3GPP TR 28.882
Version: 0.2.0
Work item: FS_AIML_MGT_Ph3
Target audience: 3GPP SA5 members and contributors
Period of validity: Rel-19 alignment and future updates
Date of meeting: 9-13 February 2026
Pseudo-CR TR 28.882 Add Solution for Management Support to Data Collection for Two-sided Model Training
Source: ZTE Corporation, Qualcomm
Meeting: 3GPP TSG SA5 #165
Location: Goa, India
Date: 9-13 February 2026
Agenda item: 6.20.2
Specification: 3GPP TR 28.882
Version: 0.2.0
Work Item: FS_AIML_MGT_Ph3 Comments
Type of document: Technical report / Contribution for approval
Target audience: 3GPP SA5 members and related working groups
Topic: Management support for data collection and two-sided model training
Pre-conditions: Relevant data for CSI compression is available in the gNB
Rel-20 Pseudo-CR TR 28.882 Add solution for use case on RL with performance targets
Year: 2026
Region / City: Goa, India
Topic: Reinforcement Learning and Performance Targets
Document Type: Technical Report
Organization / Institution: 3GPP
Author: Ericsson Telecom S.A. de C.V.
Target Audience: Policy makers, machine learning researchers, telecommunications professionals
Period of Validity: Ongoing
Approval Date: February 2026
Modification Date: N/A
Topics: energy-aware Observability 28882